The fenbs blogAll articles
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- How to Stop AI From Reading Your GmailReview Gmail smart features, Gemini connections, and third-party permissions separately. Remove unwanted access, then choose deliberately what work information you share. · 5 min read
- How to Train ChatGPT for a Specific TaskGive ChatGPT a clear procedure, checked examples, and the right references. Then test the setup on new inputs and keep the corrections for next time. · 5 min read
- MCP Server for Business Central: Connections and PermissionsAn MCP server for Microsoft Dynamics 365 Business Central lets an AI assistant query business data, read records, and assist with follow-up tasks during an authorized session. Here is how to assess connection options, set the right action permissions, and use fenbs to track approved follow-up work without replacing the business system. · 4 min read
- Build an MCP Server in Java: Tools, Transport, and VerificationA guide to writing a Java MCP server: define tools, connect a transport, test each call, and record the design decisions that keep the server maintainable. · 5 min read
- The Second Brain Study Method for AI-Assisted LearningBuild a study record that connects sources, your explanations, and unanswered questions. Use AI for feedback while keeping recall practice in your routine. · 5 min read
- The Smartest Chatbot for Your Work: How to Compare AnswersThere is no single smartest chatbot — the best one for your work depends on the task. This guide shows how to compare ChatGPT, Claude, Gemini and others on what you actually do, and how to keep the results of that comparison. · 4 min read
- How to Turn Off the Krisp AI Note TakerKrisp includes AI note-taking alongside its noise cancellation. Here is how to review the recording settings, turn off automatic capture, and document your team's approved rules for meeting assistants. · 4 min read
- Zettelkasten AI: Link Notes Without Losing Your ThinkingUse AI to question your notes and suggest connections while you keep control of the claims. This practical workflow preserves sources, reasoning, and useful next actions. · 5 min read
- AI for Forensic Accounting: Evidence, Patterns, and ReviewAI can support document triage and investigative hypotheses in forensic accounting work, but people verify evidence and preserve chain of custody. Here is where it helps and how to keep the work organized. · 7 min read
- AI for Lawyers: Brief Writing With Verifiable SourcesBrief writing combines legal analysis, record citations, and argument structure under deadline pressure. AI can help at each stage, but every citation and factual claim needs the attorney's verification before filing. · 5 min read
- AI for Research Questions: Narrow, Test, and Refine Your ScopeTurn a broad interest into a researchable question with AI, then check the evidence, feasibility, and assumptions. Save the final wording and the human decisions that set its scope. · 5 min read
- Sales AI: Compare Tools for Your Team’s WorkflowsChoose sales AI by the work your team needs to improve: account research, drafting, meeting preparation, or pipeline review. Keep customer records, human approval, and shared instructions clear. · 8 min read
- AI for Writing Newsletters: Keep a Consistent VoiceBuild each newsletter from an issue brief, checked sources, and a clear editorial voice. Use AI for structure and revision while a person owns the facts and the send decision. · 5 min read
- AI in Underwriting: Uses, Limits and Human ReviewAI-assisted underwriting can speed up application review and surface risk signals, but the decisions it informs still need human oversight, documented reasoning and a clear record of what was approved and why. · 6 min read
- AI Meeting Notes in Bahasa Indonesia: Tools and ChecksChoose an Indonesian meeting-note workflow by language support, mixed-language handling, and the review work it leaves you. Keep approved terminology and decisions consistent afterward. · 8 min read
- AI Memory Databases: What to Store and How to ChooseAn AI memory database stores information an application can retrieve after a conversation ends. Choose one by the records, updates and access controls your application needs. · 5 min read
- AI Memory Updates: Correct Stale Facts Without Losing DecisionsUpdate the record an assistant reads, preserve why a decision changed, and test the correction in a fresh session. A new chat message alone is not enough. · 5 min read
- AI Models as a Service: What Teams Need to EvaluateAI models as a service lets teams access powerful language models without running infrastructure. Here is what to evaluate before committing — capability, access, cost structure, and what happens to your work when you switch. · 6 min read
- AI Notes in Microsoft Teams: Review and Act on Meeting NotesMicrosoft Teams can produce AI meeting notes and summaries through Microsoft 365 Copilot. Here is how to find them, review them for accuracy, and turn confirmed decisions and tasks into a lasting record. · 5 min read
- AI Product Strategy: Define the Problem Before the ModelBuild an AI product strategy around a specific user problem, a testable benefit, and the cost of being wrong. Keep product choices and experiment lessons connected as the evidence changes. · 6 min read
- Google AI Writing Assistant: Use Gemini in DocsGemini in Google Docs can draft, revise, and summarize documents from inside the editor. Here is how to use it for real writing work and how to keep writing preferences and accepted decisions consistent across sessions. · 5 min read
- Can ChatGPT Be Wrong? How to Check Answers Before Using ThemYes, ChatGPT can be wrong, and it is often confident when it is. Here is why that happens and a practical workflow for checking answers before you rely on them. · 4 min read
- ChatGPT for OneNote: Turning Notes Into Useful ContextChatGPT does not connect to OneNote directly, but you can paste selected notes to get summaries, plans, and next actions. The key is choosing what to paste and keeping the approved output where the next session can find it. · 5 min read
- ChatGPT for Teachers: Planning, Feedback, and ReviewA practical guide to using ChatGPT for lesson planning, activity design, and feedback drafts, with guidance on protecting student privacy and keeping reusable prompts your whole department can use. · 7 min read
- ChatGPT Memory Is Bad? Make Recall Easier to CheckUseful recall starts with clear sources, current facts, and a test that matches the work. Keep exact instructions visible and judge the resulting task, not the assistant’s confidence. · 5 min read
- ChatGPT Projects Could Not Be Loaded: What to CheckA "could not be loaded" error on ChatGPT Projects usually has a short-term fix. Here is a recovery checklist, what to expect, and how to keep project work safe outside ChatGPT. · 4 min read
- ChatGPT Temporary Chat Not Working: Errors and Recovery ChecksTemporary chat errors in ChatGPT usually come from a browser or app state issue, a server problem or a plan restriction. Walk through the checks in order to find the cause and fix it. · 5 min read
- Claude MCP Server Needs Authentication: How to Fix ItWhen Claude reports that an MCP server needs authentication, the fix depends on whether it's a sign-in step you missed or a credential the server config is missing. Here's how to tell them apart and resolve each. · 4 min read
- CLAUDE.md for Website Design RecreationA ready-to-copy CLAUDE.md template for website design recreation projects, covering authorized references, responsive rules, asset locations, and visual review steps. · 4 min read
- Claude vs. Microsoft Copilot for Everyday WorkClaude is Anthropic's standalone AI assistant. Microsoft Copilot integrates with Microsoft 365 and the web. They suit different work setups. Here is how to compare them for writing, documents and work context. · 7 min read
- Copilot for Data Analysis: Choose a Surface and Check the WorkChoose the Microsoft work surface that contains your data, define the question, and check the calculations before using a generated conclusion. · 5 min read
- Custom GPT Knowledge Files: Organize and Check Your SourcesPrepare readable reference files, separate instructions from source material, and test whether answers use the right version. Keep changing project decisions outside static snapshots. · 6 min read
- GitHub Copilot for Data Science: A Reviewable WorkflowGitHub Copilot can speed up data science work by writing analysis code, explaining methods and helping with debugging. Here is how to use it with appropriate checks and keep experiment context and lessons across sessions. · 7 min read
- How Recall AI Works for Saving and Reusing ResearchRecall turns material you choose to save into a personal knowledge library you can revisit and question. Learn the capture, organization and checking steps that make the result useful for real work. · 5 min read
- How to Keep Using ChatGPT for FreeThe free ChatGPT plan has real limits. Understanding what they are and how to work within them keeps most tasks moving without a paid account. · 5 min read
- How to Make Claude Private: Settings and Sharing BoundariesReview Claude’s privacy settings, shared conversations, memory and connected apps. Use incognito for its specific purpose without treating it as complete secrecy. · 5 min read
- How to Use ChatGPT RecordChatGPT's voice recording feature lets you speak a prompt rather than type it. Here is what it does, how to use it for work tasks, and how to save the agreed actions and decisions somewhere they last. · 5 min read
- How to Use a Claude Productivity PluginA Claude productivity plugin could be a Claude Code plugin, a Claude skill built for a productivity task, or a Claude integration with a productivity app. Here's how to identify what you have, review it, and test it safely. · 5 min read
- Microsoft 365 Knowledge Management: Organize What MattersGive shared documents, working conversations, and reusable answers a clear home in Microsoft 365. Then preserve the decisions and source links your next AI session needs. · 5 min read
- NAIC AI Principles: What Insurance Teams Should DocumentUse the NAIC AI principles to ask practical questions about insurance AI. Keep the principles distinct from the requirements that apply to your organization. · 5 min read
- Pydantic AI System Prompts: Instructions, Context, and TestsPydantic AI supports both static and dynamic system prompts. Static prompts set stable rules; dynamic prompts inject context at runtime. Here is how to define them, separate rules from request data, and test the behavior. · 4 min read
- Tana Templates for Projects, Research, and Reusable AI ContextStart with small, reusable structures for a project, a research source, and an AI handoff. These patterns keep evidence separate from decisions and next actions. · 5 min read
- 3 Major Types of Knowledge Management Systems, ExplainedThe three common categories help you distinguish sharing existing knowledge, creating new knowledge, and using intelligent techniques. Here is how to apply them to everyday work and AI context. · 6 min read
- Todoist AI Assistant: Turn Suggestions Into Useful TasksUse Todoist’s Task Assist to suggest and improve tasks, then check the work before adding it. Keep the project decisions that explain why each action matters. · 5 min read
- Institutional Knowledge: What It Is and Why It MattersInstitutional knowledge is the experience an organization builds through its work. Preserve the reasons, exceptions, and unfinished steps that help the next person continue. · 5 min read
- AI Agents for Construction: Documents, Decisions, and HandoffsAI agents can help construction teams with drawing questions, site-note review, and project follow-ups — under professional review and with a clear record of every decision. · 5 min read
- AI Aggregators: Compare Multiple Models in One PlaceAn AI aggregator gives you access to several AI models through a single interface. This guide compares the main options by access, limits, privacy, and export — and explains what they do not solve on their own. · 8 min read
- AI Context API: Give Assistants Current Project InformationAn AI context API is an endpoint that returns the current state of a project so an assistant can start work without asking you to explain everything again. Here is how to design one, what to include and how fenbs's MCP connection illustrates the pattern. · 6 min read