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Moving Your Memory and Chat History to Google Gemini

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Moving Your Memory and Chat History to Google Gemini

As AI chatbots grow smarter, they're doing more than just answering questions. They're learning your preferences, remembering your work style, and building a profile based on past conversations to deliver a more personalized experience. So when you're thinking about switching to a different chatbot platform, the prospect of losing all that accumulated context is understandably frustrating.

But here's the good news: you don't have to start from scratch.

Whether you're already using Google Gemini or considering a move from ChatGPT or Claude, you can actually bring most of your saved memories and conversation history along with you. And if you ever decide to leave Gemini for another AI platform, Google provides tools to export your data fairly comprehensively.

This guide walks you through exactly how to import and export your chatbot data on Gemini, making your transition as smooth as possible.

Why Transfer Your Memory Between Chatbots?

Modern chatbots don't just store conversation transcripts—they build personalized profiles based on what they learn about you. This includes your preferences, communication style, areas of interest, current projects, and any custom instructions you regularly use.

When you switch to a new chatbot without transferring that information, the AI essentially has to relearn everything from scratch. The real concern is that this can seriously hamper your productivity during the transition period.

Migrating your memory data lets the new chatbot quickly understand who you are, enabling it to deliver relevant and accurate responses right from your first conversations.

That said, be smart about what you transfer. Never share sensitive information like passwords, financial data, or critical personal details with any chatbot. While AI platforms are increasingly focused on security, data breaches remain a real possibility.

Importing Memory Data From Another Chatbot Into Gemini

Gemini doesn't yet offer an automated memory export feature like some other platforms do. However, you can still grab the information your previous chatbot learned about you and bring it over to Gemini using a simple prompt.

For example, Claude currently supports generating a summary of all your stored memories. You can ask it to export this information with a prompt like:

"Export everything you remember about me and what you've learned from our previous conversations."

Once your old chatbot generates that summary, you're ready to move over to Gemini and import it.

Step-by-Step Instructions

Here's what to do in Gemini:

  1. Open Gemini in your web browser.
  2. Sign in with your Google account.
  3. Click the Settings icon.
  4. Select Import Memory to Gemini.
  5. Paste the memory data you just exported from your previous chatbot into the text field.
  6. Click Add Memory.

Gemini will analyze the content and integrate the relevant information into your personal memory system.

Once complete, the chatbot will start using this data to personalize your future conversations.

Importing Conversation History Into Gemini

Beyond personal memory, Gemini also supports importing conversation history from several other AI platforms.

If you've already exported your chat data from another chatbot as a ZIP file, you can upload it directly to Gemini.

In the Import Memory to Gemini section, below the text input area, you'll find an option to upload files from supported AI providers. Just select your previously exported ZIP file and upload it.

Google currently supports files up to 5GB each.

After importing, conversations transferred from other platforms will display a distinct icon to differentiate them from chats created directly in Gemini.

Can't Upload Files to Gemini? Check Your Memory Settings

Sometimes file uploads fail even when your file is perfectly valid.

The most common culprit? The Memory feature is turned off.

To re-enable it, follow these steps:

  • Open Gemini.
  • Tap the Settings icon.
  • Go to Personal Intelligence.
  • Toggle Memory on.

Once Memory is enabled, the import feature should work normally.

Exporting Your Data From Gemini

Exporting is a bit more involved than importing.

Google hasn't yet built a conversation export feature directly into Gemini. Instead, you'll need to use Google Takeout, the company's official data export service that works across Gmail, Drive, Photos, and other Google services—including Gemini.

Google Takeout is the official tool that lets you download your data from any Google service.

How to Export Your Gemini Conversation History

Here's the complete process:

Step 1: Access Google Takeout

Visit the Google Takeout website and sign in with the Google account you use for Gemini.

Step 2: Select Your Data

Google displays a list of all services with stored data associated with your account.

Click Deselect all to clear all selections.

Then scroll down and check the box next to Gemini.

Step 3: Configure Export Settings

Click Next Step to continue.

For delivery method, choose:

  • Send download link via email if you want the download link sent to your inbox.
  • File format: ZIP.
  • Maximum file size based on your preference.

Then click Create Export.

Step 4: Wait for Processing

Depending on how much data you're exporting, Google may take anywhere from a few minutes to several hours.

You'll receive an email with your download link when it's ready.

If your data is particularly large, Google may split it into multiple ZIP files.

Once downloaded, you can store it safely or upload it to another chatbot if that platform supports conversation history imports.

Quick Comparison: Importing vs. Exporting Data on Gemini

Task Difficulty Level
Importing memory from another chatbot Straightforward
Importing conversation history ZIP file uploads supported
Exporting memory data No direct support yet
Exporting conversation history Requires Google Takeout
Maximum upload file size 5GB per file

As AI becomes a daily work tool for more people, switching between chatbots will likely become routine. Nobody wants to lose months' worth of conversation history or all those personalized data points a chatbot has learned about them.

What's interesting here is that Gemini now supports importing both memory and conversation history from several competing AI platforms, making transitions considerably easier. If you ever want to take your Gemini data elsewhere, Google Takeout makes that possible too.

While the process isn't as seamless as some might hope, it's a meaningful step forward that gives users real flexibility in choosing and switching between AI platforms based on their actual needs.

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n8n tutorial - Lesson 11: Build a Weekly Report Workflow in n8n

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n8n tutorial - Lesson 11: Build a Weekly Report Workflow in n8n

Hi everyone, in this post you will build a complete n8n scheduled workflow that automatically generates a weekly spending report — pulling data from Google Sheets, summarizing it with AI, writing the output to a Google Doc, and sending a Telegram notification. This is the Week 3 capstone project in our n8n Workflow Automation Tutorial series, so by the end you will have a real end-to-end pipeline you can activate on a schedule.

How to do:

Step 1 — Create the Google Doc Report Template

Before building any nodes, you need a Doc template with placeholders that n8n will fill in later.
  1. Create a new Google Doc and name it T3-B4-Weekly-Report-Template.
  2. Add the following 9 placeholders exactly as shown — these are the strings the Docs node will replace:
    • {{week_number}}
    • {{period}}
    • {{total_spending}}
    • {{num_transactions}}
    • {{top_vendor}}
    • {{top_category}}
    • {{transactions_list}}
    • {{transactions_raw}}
    • {{ai_insight}}
  3. Apply formatting: use Heading 1 for the report title and Heading 2 for section headers. Bold any labels you want to stand out.
  4. Note the Doc ID from the URL — you will need it in Step 5. The template used in this tutorial has ID 11kboueFh3VkSIMPXiSbYisfc04SrhUAoZvIdcEq7vNc.

Step 2 — Create the Reports Output Folder in Google Drive

Each time the workflow runs it copies the template into a dedicated folder, keeping your Drive organized.
  1. Open Google Drive and create a new folder named Reports/.
  2. Note the folder ID from the URL — this tutorial uses folder ID 1iJZ1381pvCCSZsZGWWkzUe5I3ncUbzr4.

Step 3 — Configure the Schedule Trigger Node

The Schedule Trigger is the entry point of this n8n scheduled workflow — it fires automatically every Friday at 5 PM.
  1. Open your n8n canvas and add a Schedule Trigger node.
  2. Set Trigger Interval to Weeks.
  3. Set Day of Week to Friday and Hour to 17 (5 PM).
  4. Save the node — no other configuration is needed here.

Note — While developing, you can trigger the workflow manually using the Test Workflow button. Only switch to a live schedule after all downstream nodes are verified.

Step 4 — Pull Spending Data from Google Sheets

The Google Sheets node fetches all rows from your spending sheet; filtering happens in the next node so you keep the logic centralized.
  1. Add a Google Sheets node connected to the Schedule Trigger.
  2. Set Operation to Get Rows.
  3. Select your spending spreadsheet and the correct sheet tab.
  4. Leave the filter empty — do not add a row filter here. The Code node in the next step handles filtering so you have one place to toggle between development mode (all rows) and production mode (last 7 days only).

Production tip — Before you activate the workflow for real weekly runs, go into the Code node and uncomment the two lines that filter rows to the last 7 days. If you forget, every report will include your full transaction history instead of just that week's data.

Step 5 — Aggregate Metrics in the Code Node

The Code node runs JavaScript once across all items to compute 8 summary fields from the raw sheet rows.
  1. Add a Code node and set Mode to Run Once for All Items.
  2. Write JavaScript that computes and returns an object with these 8 fields:
    • week_number — ISO week number of the report period
    • period — human-readable date range string (e.g., "May 4–10, 2026")
    • total_spending — sum of all transaction amounts
    • num_transactions — count of rows
    • top_vendor — vendor with highest total spend
    • top_category — category with highest total spend
    • transactions_list — formatted string summary for the Doc
    • transactions_raw — raw transaction data for the AI prompt
  3. For production mode, uncomment the filter logic inside the Code node:
    • Calculate the date 7 days before today.
    • Filter items to only rows where the transaction date is within that window.
  4. Critical: Cast week_number and num_transactions to strings before returning — wrap them with String(...). The Google Docs API requires replace_text values to be TYPE_STRING; passing a JavaScript number causes a type error.

Tip — Test this node with your sheet data before moving on. During testing with 4 sample rows the node returned correct aggregates — confirming the Run Once for All Items mode is essential here, because Run Once per Item would re-run the aggregation separately for each row and produce wrong totals.

Step 6 — Generate AI Insights with the Basic LLM Chain Node

The Basic LLM Chain node sends the aggregated metrics to Claude and gets back a short, actionable spending insight.
  1. Add a Basic LLM Chain node connected to the Code node.
  2. Set the model to Claude Haiku 4.5 and Temperature to 0.5.
  3. Do not attach an Output Parser — plain text output is all that is needed here.
  4. Write a prompt using an XML 4-block structure:
    • <role> — define the AI as a personal finance analyst
    • <data> — insert the aggregated metrics using n8n expressions (e.g., {{ $json.transactions_raw }})
    • <instructions> — ask for 4–5 sentences with at least one actionable suggestion
    • <format> — specify plain text, no markdown, no bullet points
  5. Test the node — you should get a 4–5 sentence insight that includes a concrete recommendation.

Note — Temperature 0.5 balances creativity and consistency. Lower values (near 0) make the insight more mechanical; higher values (near 1) can make it too speculative for a finance report.

Step 7 — Copy the Template in Google Drive

The Google Drive node duplicates the template Doc into the Reports/ folder so the original template is never modified.
  1. Add a Google Drive node and set Operation to Copy.
  2. Set File ID to the template Doc ID: 11kboueFh3VkSIMPXiSbYisfc04SrhUAoZvIdcEq7vNc.
  3. Set Destination Folder ID to the Reports folder ID: 1iJZ1381pvCCSZsZGWWkzUe5I3ncUbzr4.
  4. Optionally set New Name using an expression that includes the week number, e.g., Weekly-Report-Week-{{ $('Code').item.json.week_number }}.
  5. The node outputs the new Doc's ID — the next node uses this to write content into the copy.

Step 8 — Replace Placeholders in the Google Doc

The Google Docs node performs 9 Find & Replace operations to swap every placeholder with real data.
  1. Add a Google Docs node and set Operation to Update.
  2. Set Document ID to the output ID from the Drive Copy node: {{ $json.id }}.
  3. Add 9 Action cards, one per placeholder, each set to Find & Replace:
    • Find: {{week_number}} → Replace with: {{ $('Code').item.json.week_number }}
    • Find: {{period}} → Replace with: {{ $('Code').item.json.period }}
    • Find: {{total_spending}} → Replace with: {{ $('Code').item.json.total_spending }}
    • Find: {{num_transactions}} → Replace with: {{ $('Code').item.json.num_transactions }}
    • Find: {{top_vendor}} → Replace with: {{ $('Code').item.json.top_vendor }}
    • Find: {{top_category}} → Replace with: {{ $('Code').item.json.top_category }}
    • Find: {{transactions_list}} → Replace with: {{ $('Code').item.json.transactions_list }}
    • Find: {{transactions_raw}} → Replace with: {{ $('Code').item.json.transactions_raw }}
    • Find: {{ai_insight}} → Replace with: {{ $('Basic LLM Chain').item.json.text }}

Tip — If the Docs node throws a TYPE_STRING error on any card, check whether the value coming from the Code node is a JavaScript number. The fix is to wrap the value in String(...) inside the Code node (the cleaner approach), or to wrap the expression in the Action card itself using {{ String($('Code').item.json.week_number) }}.

Step 9 — Send a Telegram Notification

The final node sends a Telegram message with a bold summary and a clickable link to the newly generated report Doc.
  1. Add a Telegram node and set Operation to Send Message.
  2. Set Chat ID to your personal or group chat ID.
  3. Set Parse Mode to Markdown.
  4. Write the message text using Markdown bold and a hyperlink:
    • Use *text* for bold fields (e.g., *Total: {{ $('Code').item.json.total_spending }}*).
    • Use [Open Report](https://docs.google.com/document/d/{{ $('Google Drive').item.json.id }}) for the clickable Doc link.
  5. Test the node — verify the message displays correctly in Telegram and the link opens the Doc.

Note — Always click the link in Telegram during testing to confirm the Doc ID is correct and the document is accessible with your Google account permissions. This end-to-end verification catches permission issues before you go live.

Step 10 — Activate the Workflow for Production

With all 6 nodes tested individually, run one final end-to-end test and then activate the schedule.
  1. Click Test Workflow from the Schedule Trigger node and verify:
    • A new Doc appears in the Reports/ folder with correct data.
    • The Telegram message arrives with a working link.
    • The AI insight is 4–5 sentences and includes an actionable suggestion.
  2. Open the Code node and uncomment the two lines that filter rows to the last 7 days — this switches from development mode (all rows) to production mode (current week only).
  3. Toggle the workflow to Active using the switch in the top-right corner of the canvas.

Production tip — Do not activate before switching the production filter in the Code node. Without the date filter every weekly run will include your entire transaction history, making totals meaningless over time.

Key Lessons from This Session

  1. Always cast numbers to strings before passing to external APIs with strict typing. The Google Docs API rejects replace_text values that are JavaScript numbers — wrap them with String(...) in your Code node as the cleanest fix.
  2. Use "Run Once for All Items" in the Code node for aggregation. "Run Once per Item" re-runs the function per row and produces incorrect totals; "Run Once for All Items" gives you the full array to aggregate in one pass.
  3. Keep filtering logic in one place. By leaving the Sheets node filter-free and handling date filtering inside the Code node, you have a single toggle point for dev vs. production mode.
  4. Separate numeric computation from text generation. n8n's Code node handles all numeric aggregation; the LLM handles all natural-language output. Mixing the two in a single prompt makes debugging harder.
  5. Always verify the full end-to-end path manually before activating a schedule. Click every output link, open every generated file, and read the AI insight — automated schedules surface no UI errors when they silently fail.
  6. n8n nodes are stateless; Google Sheets is stateful. Each workflow run starts fresh with no memory of previous runs. Your Sheet is the persistent data layer — treat it as the source of truth.

Conclusion:

In this n8n tutorial you built a full 6-node n8n scheduled workflow — from a Friday-evening Schedule Trigger through Sheets data retrieval, JavaScript aggregation, AI insight generation, Google Doc creation, and a Telegram notification — covering every real configuration value, a live bug fix, and the production filter toggle you need before going live. This is the Week 3 capstone in the n8n workflow automation series; next week we move into automating Blogger posts, where you will use HTTP Request nodes to call the Blogger API and chain Claude prompts to write full SEO-ready articles from a keyword list in a Sheet.

If you have any questions, feel free to leave a comment below. Thank you!

Tags: n8n scheduled workflow, n8n tutorial, n8n workflow automation, Google Sheets automation, Google Docs automation, Telegram bot n8n, AI workflow automation, n8n beginner to advanced

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Your Home Wi-Fi Just Became a Health Monitor — Here's How

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Your Home Wi-Fi Just Became a Health Monitor — Here's How

What if your home Wi-Fi router could track your vital signs? That's not science fiction anymore. Taiwan-based power management company Delta recently unveiled fascinating research at Taipei's Computex showing that Wi-Fi networks could soon monitor your breathing and heart rate in real time.

Wifi

During the event, Dr. Tzi-cker Chiueh from Delta's research center demonstrated how advanced algorithms can analyze disruptions in Wi-Fi signals to detect breathing rate and even heart rate. What's interesting here is that Wi-Fi signals are far more sensitive to movement and environmental changes than most of us realize.

Delta's researchers measured the precise timing and angle of Wi-Fi signal reflections bouncing around a room. Using this data, they developed algorithms capable of tracking respiratory patterns with remarkable accuracy. The numbers are impressive: they achieved 95% accuracy when measuring breathing within a 5-meter range, and 83% accuracy for heart rate monitoring at distances up to 1 meter.

In a live demo, Chiueh showed how two smartphones using Wi-Fi signals could distinguish between two people's sleep states by analyzing their breathing patterns and body movement. Imagine the possibilities — no special hardware needed.

If this technology makes its way into consumer smartphones, it could genuinely transform how we monitor our health. Forget expensive wearable devices. Your phone's Wi-Fi capability might handle the job just fine.

But Chiueh's vision goes bigger than personal fitness tracking. He's proposing that Wi-Fi access points could replace costly medical equipment in hospitals and nursing homes. Elderly care facilities could continuously monitor residents without requiring them to wear anything. The same approach could even save lives by detecting when children or pets are accidentally left inside vehicles.

Beyond health applications, Delta sees practical network benefits too. By detecting physical changes in an environment through Wi-Fi signal fluctuations, access points could automatically optimize performance — shifting broadcast positions when obstacles emerge that might otherwise degrade signal strength.

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The Best AI Apps for iPhone in 2026

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The Best AI Apps for iPhone in 2026

Installing an AI app on your iPhone has become almost second nature by 2026. But with the App Store flooded with options, it's tough to figure out which ones actually deserve your storage space and which ones you can safely skip. We've rounded up the standout AI applications that transform your iPhone into a genuinely smarter, more capable device. Whether you need help with work, fitness, browsing, or just having a conversation, there's something here worth exploring.

Quick Comparison of the Best AI Apps for iPhone

AI App Best For Limitations Price
ChatGPT Quick searches, summaries, planning, Q&A Advanced features locked behind paid subscription Free, ChatGPT Pro from $20/month
Perplexity Deep research, fact-checking, Siri alternative Can't set as default iPhone AI assistant Free, Pro from $20/month
Google Gemini Real-time problem-solving and live assistance Advanced reasoning features only in paid tier Free, AI Pro from $19.99/month
Otter Voice recording and transcription for students, journalists, office workers Accuracy drops with heavy accents or regional dialects Free, Pro from $16.99/month
Replika Conversation, companionship, emotional support Not designed for fact-checking or research Free, Pro from $14.99/month
Arc Browser Fast browsing, ad-free experience Safari users need time to adjust Free
Welling AI Calorie counting and weight loss support Not suitable for specialized nutrition plans Free, paid plans from $15/month
Grok AI Daily conversation and general Q&A Limited content moderation, not suitable for kids Free, SuperGrok from $30/month

Top AI Apps for iPhone

ChatGPT

ChatGPT deserves the top spot because it handles practically everything you might throw at it on a daily basis. Need to ask a question? Draft an email? Write a blog post? Plan your week? Summarize a document? ChatGPT covers it all. The app even supports group conversations with friends, making it genuinely useful for collaborative brainstorming.

What's interesting here is ChatGPT's image generation capability. It's become famous for producing stunning AI art—those Ghibli-inspired images that went viral certainly didn't hurt its reputation. The latest GPT-5.2 version brings noticeably faster responses and significantly better context understanding.

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Strengths

  • Excellent at writing summaries, explanations, and brainstorming.
  • Can replace traditional search engines for many tasks.
  • Integrates seamlessly with popular apps and services.
  • Creates realistic and imaginative AI images.

Drawbacks

  • Offline capabilities are quite limited.
  • The most powerful AI models require a paid subscription.

Perplexity

Perplexity is my personal go-to on iPhone, mainly because it's the closest thing we have to a genuine Siri replacement. It works as a standalone chatbot, handling research, document summarization, concept explanation, and idea development much like ChatGPT does.

The standout feature is Voice Mode. You can ask Perplexity to play music on Apple Music, add events to your calendar, send emails to contacts, or handle various other tasks just by speaking naturally. The real concern is that this level of integration should arguably be more widely adopted across other AI apps.

Its natural language understanding is remarkably strong. Unlike Siri's rigid command structure, Perplexity lets you communicate conversationally without awkward phrasing.

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Strengths

  • Researches information in real-time.
  • Voice conversation mode feels natural and responsive.
  • Deep integration with Apple's native apps.
  • Understands natural language exceptionally well.

Drawbacks

  • Image generation doesn't match ChatGPT's quality.
  • Can't be set as your default iPhone AI assistant.

Google Gemini

Google Gemini has evolved beyond being just another ChatGPT competitor. It's become a versatile AI platform in its own right.

Beyond the standard explanation, summarization, and question-answering features, Gemini includes Gemini Live mode. Point your camera at any object and ask questions about what you're looking at in real-time. This is genuinely handy when you need immediate guidance in practical situations—like figuring out what's wrong with something or how to fix it on the spot.

Gemini also uses its Nano Banana Pro model to generate highly detailed AI images and supports Google Search with an AI twist through Search AI mode.

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Strengths

  • Live video conversation with real-time responsiveness.
  • High-quality AI image generation.
  • Intelligent search powered by Google AI.
  • Free AI video creation capability.

Drawbacks

  • Responses occasionally lack consistency.

Otter Transcribe Voice Notes

If you're constantly jotting down notes on your iPhone, Otter deserves a spot on your device. It's one of the best AI note-taking apps available, capable of converting speech to text in real-time.

Record lectures, meetings, or interviews, then review the transcripts whenever you need them. Otter automatically identifies different speakers, generates summaries, and lets you share notes with colleagues—all without the hassle of manual transcription.

The app works with Microsoft Teams, Google Meet, and Zoom, and you can record directly or import audio files from your device.

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Strengths

  • Speech-to-text transcription is remarkably accurate.
  • Syncs data across multiple devices seamlessly.
  • Automatically identifies who's speaking.
  • Simple sharing and export options.

Drawbacks

  • Free tier limits you to 300 minutes of recording monthly.
  • Accuracy can drop with certain languages or regional accents.

Replika

Replika has become one of the most popular AI companion apps on iPhone. Think of it as an AI friend—it converses, listens, and offers emotional support. Over time, Replika learns from your conversations to personalize how it responds.

You can customize your AI companion's appearance and personality. It's a safe space to express your feelings, discuss stress or anxiety, celebrate wins, or process setbacks without judgment. The app also supports mood tracking, stress reduction exercises, and encourages journaling as part of its wellness features.

Strengths

  • Provides conversation and emotional companionship.
  • Remembers your preferences over time.
  • Customizable appearance and personality.
  • Built-in mood tracking and journaling support.

Drawbacks

  • Not suitable for fact-checking or research.
  • Most advanced features require a paid subscription.

Arc Browser

Looking for something different from Safari? Arc Browser offers a fresh take on mobile web browsing. The standout feature is Browse for Me—an AI function that automatically searches and summarizes content from multiple websites in seconds.

Arc also blocks ads and trackers, giving you a cleaner browsing experience overall. If you use Arc on your Mac, your data syncs across devices automatically.

Strengths

  • Modern, thoughtful interface design.
  • AI-powered intelligent search.
  • Automatically summarizes website content.
  • Cross-device sync with Arc on desktop.

Drawbacks

  • Safari users will need an adjustment period.

Welling AI Weightloss Coach

AI isn't just for productivity—it can transform your health journey too. Welling AI is a straightforward weight loss support app that analyzes your meals, counts calories, and tracks daily goals.

Simply describe what you ate or snap a photo of your meal, and the AI estimates calories, breaks down nutritional content, and suggests improvements. The app syncs with Apple Health to monitor your activity and weight loss progress in one place.

Strengths

  • Delivers personalized weight loss plans.
  • AI-powered calorie tracking.
  • Suggests diet and exercise modifications.
  • Integrates with Apple Health.

Drawbacks

  • Some recommendations feel fairly generic.
  • Struggles with accurate estimates for traditional dishes.

Grok AI

Grok offers web search capabilities, information summarization, and real-time data access directly from the X platform (formerly Twitter). It responds quickly and handles brainstorming and content creation reasonably well.

Unlike many other chatbots, Grok imposes fewer content restrictions. You can roleplay with different AI characters and generate images or videos with lighter content filtering. This flexibility appeals to users who find other assistants too restrictive, though it's worth noting this approach comes with tradeoffs.

Strengths

  • Conversational tone and quick responses.
  • Effective at summarizing and brainstorming ideas.
  • Supports AI character roleplay.
  • Can generate AI images and video.

Drawbacks

  • Sometimes misinterprets user requests.
  • Limited content moderation makes it unsuitable for children.

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Bkav Unveils BkavGPT: A Vietnamese AI Assistant Tackling Problems OpenAI and Google Haven't Solved

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Bkav Unveils BkavGPT: A Vietnamese AI Assistant Tackling Problems OpenAI and Google Haven't Solved

Vietnamese security firm Bkav has just announced BkavGPT, an AI-powered digital assistant built on generative AI technology. What's interesting here is the company's bold claim about solving accuracy issues that even the biggest players in AI haven't cracked.

The first hints about BkavGPT surfaced earlier this year when Bkav GPT Corporation was officially registered on January 22, 2024.

BkavGPT

According to Bkav CEO Nguyễn Tử Quảng, the company has already integrated GPT technology to improve spam filtering on mobile devices. Beyond that, Bkav's AI system has found applications in cattle management, forest fire prevention, and construction site monitoring. The CEO expressed confidence that "Vietnam can become the world leader in AI," particularly in the realm of "applied AI."

Bkav positions BkavGPT primarily as a document management and retrieval tool. Rather than targeting everyday consumers like ChatGPT, the platform aims squarely at government agencies and enterprises dealing with massive volumes of regulations, decrees, and administrative documents.

Here's where things get bold: Bkav claims BkavGPT will deliver responses that are not just accurate, but "faster and more precise than consulting a veteran specialist." The real concern is whether this promise is realistic.

Industry giants like OpenAI and Google deliberately avoid guaranteeing the accuracy of their generative AI outputs. If Bkav's claims hold up, this could represent a genuine breakthrough. But there's a crucial difference in stakes: ChatGPT and Gemini serve general consumers, so occasional errors might only affect a handful of individuals. BkavGPT, deployed across government and enterprise sectors, would have far wider impact from any mistakes.

For now, Bkav has released only an announcement. No technical details have been shared, and the assistant's user interface hasn't been shown publicly.

Official Statement from Bkav: Successful Development of an Intelligent Digital Assistant

Government agencies, organizations, large conglomerates, and corporations currently manage enormous volumes of regulatory documents, administrative guidelines, decrees, and circulars—sometimes tens of thousands of files they must comply with daily.

To ensure proper implementation and correct citation, these organizations typically maintain teams of veteran specialists who can recall specific regulations and resolutions from memory when needed. The problem: when these experts retire or leave, organizations face a critical gap with no obvious replacement. An intelligent digital assistant could fill this role—and it's desperately needed.

Bkav has successfully developed an intelligent digital assistant using generative AI technology. The assistant communicates naturally in Vietnamese and can answer virtually any user question with instant, accurate responses—faster and more precise than consulting a long-time specialist.

Trần Nhân Anh, CEO of Bkav GPT, commented: "AI is the cornerstone of the fourth industrial revolution, comparable to the invention of electricity or the internet—it can reshape the world and every production method. This digital assistant is a pioneering product bringing AI technology closer to everyone."

Deploying an intelligent digital assistant helps accelerate digital transformation for government agencies and enterprises while creating new opportunities and lasting value for society as a whole.

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How to Fix High CPU Usage in Windows 11 When Idle – Complete Guide

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If your Windows 11 computer is showing 95-100% CPU usage even when the system is idle, you're not alone. This is a common issue that can lead to overheating, reduced performance, and increased power consumption. Normally, a computer at rest should maintain CPU usage between 1% and 10%. If you're experiencing significantly higher usage, it's time to investigate and fix the problem.




Understanding the Problem: IDLEDISABLE Setting

After optimizing Windows 11 for performance, many users experience constant high CPU usage. The culprit is usually an invalid CPU power setting that forces all processor cores to run at full speed unnecessarily. This prevents the CPU from entering a low-power state, leading to wasteful energy consumption and reduced hardware lifespan.

The problematic setting is called "IDLEDISABLE." This critical value directly controls whether your CPU can enter idle states:

  • IDLEDISABLE = 0: Idle state is allowed (normal operation)
  • IDLEDISABLE = 1: Idle state is prohibited and CPU runs at 100%

Note: Some games change IDLEDISABLE to "1" for maximum performance. However, the value sometimes remains at "1" after exiting the game instead of resetting to "0", causing persistent high CPU usage during idle times.

How to Fix High CPU Usage in Windows 11

Follow these steps to resolve the issue:

Step 1: Open Command Prompt as Administrator

Right-click the Start button and select "Terminal (Admin)" or search for "Command Prompt" and run it with administrator privileges.


Step 2: Execute the First Command

Copy and paste the following command, then press Enter:

PowerCfg /SETACVALUEINDEX SCHEME_CURRENT SUB_PROCESSOR IDLEDISABLE 0 0 0

This command sets the IDLEDISABLE value to 0, allowing your CPU to enter idle states and reducing unnecessary power consumption.


Step 3: Activate the Power Scheme

Execute this command next:

PowerCfg /SETACTIVE SCHEME_CURRENT

This activates the current power scheme with your new settings, ensuring changes take effect immediately.


Step 4: Verify the Fix

Open Task Manager (press Ctrl + Shift + Esc) and check the CPU usage. You should see a significant drop, with CPU usage now at normal levels during idle times. The change typically reflects immediately.

Additional Solutions for Optimal Performance

Beyond adjusting the IDLEDISABLE setting, consider implementing these additional optimizations:

Update All Drivers

Keep your system drivers current, particularly chipset and CPU drivers. Visit your hardware manufacturer's official website to download the latest versions. Outdated drivers can cause performance issues and high CPU usage.


Run a Malware Scan

Execute a comprehensive malware scan using Windows Defender or trusted third-party antivirus software. Malicious software often causes unexpected high CPU usage by running background processes.


Disable Unnecessary Startup Programs

Open Task Manager, navigate to the Startup tab, and disable programs you don't need running automatically. Fewer startup applications mean lower CPU load during idle times.

Conclusion

High CPU usage on Windows 11 during idle times is frustrating but easily fixable. By adjusting the IDLEDISABLE setting through Command Prompt, your CPU can properly enter low-power states, significantly reducing energy consumption and heat generation. Combined with updated drivers, malware scans, and startup optimization, your system will run more efficiently and maintain better performance longevity.

The Best AI Tools for Teachers in 2026: A Practical Guide

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The Best AI Tools for Teachers in 2026: A Practical Guide

Teaching in 2026 looks nothing like it did a decade ago. Gone are the days when a textbook, whiteboard, and video conferencing were enough. AI has quietly become the most valuable classroom assistant — helping educators design lessons faster, grade smarter, and personalize learning in ways that were previously impossible.

From lesson planning and assessment to adapting curriculum for individual learners and sparking classroom creativity, AI is rapidly becoming a second teacher for educators worldwide. The challenge? With hundreds of new AI tools launching every year, figuring out which platforms actually deliver real value is exhausting.

This guide breaks down the most effective AI platforms for teachers in 2026 — each with distinct strengths. Some excel at reducing admin workload. Others specialize in personalized learning. A few focus purely on making lessons more engaging. We've picked tools that genuinely move the needle on what matters: saving time, boosting student outcomes, and making teaching less stressful.

The Best AI Tools for Teaching

ChatGPT — The Familiar Powerhouse

ChatGPT remains the most recognizable name in generative AI. Its intuitive chat interface lets teachers brainstorm lesson concepts, explain difficult ideas, and simulate Q&A sessions with students. It's incredibly versatile and handles almost any task you throw at it.

The catch? It wasn't built specifically for education. Teachers need solid prompt-writing skills and must verify AI-generated content before using it in class. You're essentially working with a general-purpose tool rather than an education-specific solution.

Strengths

  • Flexible brainstorming, concept explanation, and content drafting
  • GPT-4 and GPT-5 excel at reasoning and nuanced language
  • Great for quick lesson drafts, examples, and cross-curricular ideas

Limitations

  • Best suited for tech-comfortable educators
  • Requires solid prompt-writing technique for accurate results
  • Conversation history and content management could be smoother
  • Best for: Tech-savvy teachers who want an all-purpose AI assistant for lesson development and brainstorming.

TeachBetter.ai — The All-in-One Education Platform

TeachBetter.ai is a newer breed of AI tool — purpose-built to streamline teaching and boost learning outcomes. It creates a unified ecosystem connecting teachers, students, parents, and schools under one intelligent roof.

Think of it as ChatGPT, Google, and YouTube rolled into one ad-free, education-focused platform. With over 20 integrated AI tools plus AI-powered search for text, images, and video, teachers can generate lesson plans, quizzes, presentations, concept explanations, and performance evaluations in seconds.

What's particularly interesting here is the interactive simulation library — over 100 immersive math and science simulations that make abstract concepts tangible and engaging for students.

Strengths

  • 20+ integrated AI tools for lesson plans, questions, reports, activities, and slideshows
  • 100+ interactive simulations transform math and science instruction
  • Supports CBSE, ICSE, IB, and international curricula
  • Ad-free search engine designed specifically for education
  • Interactive learning through Concept Mastery Coach and document chat features
  • Supports 80+ languages with student-safe design
  • Affordable pricing with easy large-scale rollout

Limitations

  • Currently web-based; mobile apps still in development
  • Large tool library means new users need onboarding time
  • Best for: Teachers seeking one comprehensive platform that cuts prep time, enables deep learning support, and replaces multiple separate apps.

Nearpod — Transform Lectures Into Interactive Experiences

Nearpod leads the pack for building student-centered interactive lessons. Teachers can embed quizzes, polls, 3D models, video, and even VR experiences directly into presentations. Students stop being passive watchers and become active participants in their own learning.

Strengths

  • Real-time classroom interaction and instant feedback
  • Supports video, 3D models, simulations, and VR content
  • Seamless integration with Google Slides, Microsoft Teams, and Canvas
  • Built-in assessment tools for tracking learning during lessons
  • Extensive lesson library aligned with curriculum standards

Limitations

  • AI support is still relatively limited
  • Advanced features require paid tier
  • Needs stable internet and student devices
  • Best for: Teachers ready to leave lecture-style instruction behind and create dynamic, engaging learning environments.

Canva for Education — Design Professional Materials Easily

Canva for Education lets teachers and students create polished presentations, posters, worksheets, and infographics through a simple drag-and-drop interface. While Canva recently added AI features like Magic Write, the platform remains design-focused — perfect for presenting content visually and professionally.

Strengths

  • Thousands of education-specific design templates
  • Free for verified teachers and students
  • Intuitive interface with strong collaboration features

Limitations

  • AI capabilities don't rival dedicated AI platforms
  • Heavy text projects demand more design time
  • Requires basic design sensibility to create standout materials
  • Best for: Teachers who want to create visually engaging lesson materials and learning resources.

Notion AI — Your Digital Teaching Brain

Notion has been the go-to productivity tool for educators managing chaos. With customizable pages, databases, and dashboards, teachers organize lesson plans, track student progress, and schedule classes effortlessly. Add Notion AI to the mix, and you've got a smart planning assistant that summarizes content, rewrites text, and generates task lists.

Strengths

  • Highly customizable for any teaching workflow
  • Supports team collaboration across departments
  • AI features help summarize and draft content

Limitations

  • Steep learning curve for newcomers
  • No pre-built lesson plans or curriculum-aligned content
  • Better for organization than creative content generation
  • Best for: Teachers building systematic workflows and managing teaching materials efficiently.

Edpuzzle — Turn Videos Into Active Learning Tools

Edpuzzle transforms any YouTube video or uploaded footage into an interactive lesson. Teachers insert questions, notes, or voice explanations directly into the timeline. Students can't just passively watch — they must engage with the content. Teachers track comprehension through built-in analytics.

Strengths

  • Supports self-paced learning at individual student speed
  • Integrates seamlessly with Google Classroom
  • Real-time learning tracking while students watch

Limitations

  • Teachers must manually create quiz questions
  • Advanced analytics need paid subscription
  • Requires reliable internet connection
  • Best for: Teachers implementing flipped classroom or blended learning models.

Quizizz — Gamify Assessments and Boost Engagement

Quizizz turns testing into a game. Leaderboards, instant feedback, and a massive question bank make assessment fun rather than stressful. While not a comprehensive AI platform, Quizizz remains one of the quickest ways to create engaging quizzes and keep students motivated.

Strengths

  • Engaging interface motivates student participation
  • Huge library of ready-made questions
  • Works smoothly with Google Classroom

Limitations

Lacks AI-powered auto-question generation

Gamified style may not suit older students

Free version has limited analytics

  • Best for: Teachers wanting fun, low-pressure assessments that boost student participation.

Gemini — Your Research and Content Copilot

Gemini is Google's next-generation AI assistant — combining search capability with generative AI. For teachers, it's invaluable for researching new topics, summarizing lengthy documents, or drafting lesson content. While not education-specific, its deep integration with Google Workspace makes it a dependable research partner.

Strengths

  • Integrates with Google Workspace and Search
  • Quick summarization of long articles and documents
  • Handles multiple data types including text and images

Limitations

  • Not designed specifically for education
  • Limited student safety features
  • Effective prompting requires skill
  • Best for: Teachers regularly researching content and needing fresh material for lessons.

MagicSchool.ai — AI Built by Teachers, for Teachers

MagicSchool.ai has exploded in popularity with one simple promise: tools designed by educators who understand classroom reality. The platform offers 80+ teacher tools and 50+ student tools — everything from lesson building and rubrics to reports and classroom engagement activities.

The real appeal is the platform's focus on reducing administrative burden so teachers reclaim time for actual teaching.

Strengths

  • Comprehensive tool set spanning elementary through high school
  • Integrates with Google Classroom, Canvas, and Microsoft Word
  • High marks for data security
  • Supports multiple international education standards
  • Already deployed in many school districts

Limitations

  • Large tool library can overwhelm new users
  • Design defaults to U.S. curricula; may need adjustment elsewhere
  • AI output always needs teacher review and editing
  • Some features require payment
  • Best for: Schools and teachers needing a comprehensive AI platform for both teaching and classroom management.

TeachMate — Your Time-Saving Teaching Assistant

TeachMate zeroes in on one goal: eliminate repetitive work through automation. The platform offers 100+ micro-tools handling lesson creation, report writing, quiz generation, presentation design, and parent communication. Educators and school administrators love it because it genuinely simplifies routine tasks.

Strengths

  • Significantly cuts administrative workload
  • Handles reports, lessons, quizzes, slideshows
  • Supports English, American, and Canadian curricula
  • Simple, intuitive interface

Limitations

  • Less focus on student interaction or learning analytics
  • Some tools locked behind premium tier
  • Limited LMS integration
  • Generated content sometimes feels templated and needs refinement
  • Best for: Teachers and administrators wanting to automate daily tasks and preserve energy for actual instruction.

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Top 5 Best PC Cases for 2026: Expert Guide to Choosing the Perfect Case

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When you reach the final stage of building a PC, one critical decision remains: choosing the right case to house all your components securely. Beyond aesthetic appeal, your case selection determines airflow, cable management, and overall system performance. A quality PC case accommodates your hardware properly, supports advanced cooling solutions, and makes future upgrades seamless. Whether you're a first-time builder or an experienced enthusiast, selecting from these top five cases will ensure your build reaches its full potential.

1. HYTE Y70 - Premium Performance Powerhouse

HYTE Y70 PC Case

The HYTE Y70 represents a significant upgrade over its predecessor, the Y60, offering considerably more internal space for high-end hardware. This case was engineered specifically to accommodate powerful components like the RTX 4090, providing the spaciousness your system needs to breathe. The expanded dimensions mean better component positioning and improved cable management throughout the build process.

Superior cooling capabilities set the Y70 apart from competitors. The generous internal volume allows installation of two 360mm AIO coolers simultaneously—one on the side panel and another mounted on top. Additionally, you can add multiple extra fans for enhanced thermal performance. The case's design inherently promotes excellent airflow, making heat dissipation from high-power GPUs virtually effortless. If you're planning to push your system to its limits with high-end components, the HYTE Y70 delivers the breathing room necessary for sustained performance.


2. NZXT H5 Flow - Optimized Airflow Design




NZXT engineered the H5 Flow with precision airflow management in mind. The case design channels air directly toward the rear mounting points, creating efficient thermal pathways throughout your system. This strategic approach provides exceptional cooling performance across all areas of your build.

The cooling flexibility is impressive—mount a 280mm cooler at the front, a 240mm cooler at the top, and a 120mm cooler at the rear simultaneously. For GPU cooling, an additional 120mm front-mounted fan directs airflow specifically toward your graphics card. The case further supports optimal temperature management through removable side panels and excellent cable routing infrastructure, making installation straightforward for newcomers and experienced builders alike. The H5 Flow stands out as an ideal choice for first-time PC builders seeking reliable performance without complexity.


3. Fractal Design Torrent - Ultimate Cooling Capacity




The Fractal Design Torrent delivers exceptional versatility for diverse cooling solutions, supporting both air and liquid cooling systems interchangeably. Whether you prefer traditional air coolers or AIO systems, this case accommodates any thermal solution with exceptional capability.

What distinguishes the Torrent is its extraordinary cooling support: it accepts 280mm, 360mm, or even massive 420mm coolers—far exceeding industry standards. The case ships with two premium 180mm fans, delivering cooling performance comparable to an autumn morning's crisp breeze. The power supply relocates to the top panel, while cables hide away completely, maintaining the clean aesthetics throughout the chassis. This intelligent layout ensures your system stays remarkably cool, regardless of workload intensity. The spacious design combined with superior airflow management makes the Torrent perfect for enthusiasts demanding maximum thermal performance.


4. Cooler Master NR200 - Compact Without Compromise




Building small-form-factor PCs presents unique challenges—fitting powerful components into minimal space demands precision and careful planning. The Cooler Master NR200 simplifies this process, offering intelligent design that maximizes every millimeter for both performance and practicality.

Easy access proves crucial in compact builds, and the NR200 excels here. Removable panels from the top, sides, and bottom provide quick access to internal components, preventing frustration from misaligned parts. Despite its compact footprint, the case accommodates GPUs up to 330mm wide and 156mm tall, supporting larger video cards than similarly-sized competitors. CPU coolers can reach up to 155mm height without clearance issues. The NR200 exemplifies efficient space utilization—delivering performance-grade capabilities in a form factor that fits virtually any desk or workspace. Perfect for builders seeking quality without bulk.


5. ASUS Prime AP201 - Micro-ATX Excellence




The ASUS Prime AP201 redefines micro-ATX case design, proving that smaller form factors needn't sacrifice capability or thermal performance. This case occupies minimal desk space while providing surprising internal volume for contemporary hardware configurations.

Cooling configuration options are abundant—accommodate a 360mm AIO cooler on top alongside six additional 120mm fans without GPU interference. The mesh design promotes superior airflow throughout the chassis, keeping components comfortably cool. The trade-off is occasional dust accumulation requiring regular cleaning, but this minimal inconvenience yields significant thermal benefits. The AP201's mesh construction, generous component clearances, and efficient layout make it the ideal choice for builders seeking compact systems without thermal compromises. Install large graphics cards and high-performance coolers with confidence, knowing the case design supports your hardware effectively.

Conclusion

Selecting the right PC case forms the foundation of a successful build. Whether prioritizing premium cooling capacity, compact form factors, or optimized airflow, these five cases represent the best options available in 2026. Consider your specific hardware requirements, workspace constraints, and aesthetic preferences when making your decision. Investing in a quality case ensures your build performs reliably, stays cool under load, and remains upgradeable for years to come.

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