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01
Mar
what is an mcp client
What is an MCP Client in Model Context Protocol?

In Model Context Protocol (MCP), an MCP client is the host app’s per-server connection component. The host creates one client for each MCP server, and the client runs the session, negotiation, and message routing. It is not the LLM and […]

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01
Mar
PDF Readable To AI
Make a PDF AI-Readable so You Can Ask, Chat, Summarize, and Extract

To make a PDF readable to AI, ensure it has a real text layer, remove access restrictions, and fix structure so headings, columns, and tables keep their meaning. Then use an AI tool that can cite the exact passage it […]

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01
Mar
Ask AI
How to Ask AI a Question so You Get Accurate, Useful Answers

Ask AI one clear question, add the minimum context that changes the answer, set constraints and success criteria, and request a specific output format. Then use a short verification script that forces assumptions, sources, and a sanity check, because hallucinations […]

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01
Mar
Large Language Models
Best Large Language Models in 2026

The best Large Language Models in 2026 depends on your job. Use leaderboards to shortlist, then run a small eval on real tasks. Avoid lock-in by running multiple models side by side and keeping failover. Current top contenders include Claude […]

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01
Mar
Gemini Chatbot
How to Make a Gemini Chatbot in 2026

The fastest way to make a Gemini chatbot is usually no-code: connect your content, choose a Gemini model, configure safety controls, and embed a widget. Build with the Gemini API only when you truly need custom UX, auth, or orchestration. […]

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01
Mar
Agentic AI
What is Agentic AI (2026)?

Agentic AI is AI that can perceive context, reason about a goal, take actions using tools, and learn from outcomes. It goes beyond text generation by executing work, with guardrails like permissions, confirmations, and audit logs. This is for ops […]

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01
Mar
LLM-Based AI Agent
How to Develop an LLM-Based AI Agent in 2026

Building LLM-Based AI Agents as the core controller is a cool concept, as Lilian Weng puts it. It works best when you treat the LLM as a general problem solver plus strict controls. This is for AI engineers, product engineers, […]

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01
Mar
ChatGPT Plus limits
ChatGPT Plus limits (2026): What Changed Dynamically

As of today, OpenAI lists Plus/Go at up to 160 GPT-5.2 messages per 3 hours (then chats switch to mini until reset) and Plus/Business at up to 3,000 GPT-5.2 Thinking messages per week when manually selected. File uploads and Projects […]

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What should I look for in a Data Processing Agreement (DPA) with an AI vendor?

You should look for clear limits on data use in customGPT.ai no model training on your data, defined security controls, subprocessor transparency, and enforceable deletion rights. A strong DPA makes it explicit how your data is processed, where it flows, […]

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How Can I Control the “Temperature” or Creativity of My Business AI to Ensure Factual Answers?

You control creativity by reducing generation freedom and increasing evidence constraints with customGPT.ai. In practice, that means using a low temperature, enforcing source-grounded responses, and requiring the AI to refuse when evidence is missing. Factual accuracy comes from constraints, not […]

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