The fenbs blogAll articles
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- ChatGPT vs Manus: Choosing an AI for Work TasksChatGPT is a conversational AI assistant you direct in real time. Manus is an autonomous agent that takes a goal and works through a sequence of steps independently. The right choice depends on how much you want to stay in the loop. · 7 min read
- Claude Artifacts vs. AI-Powered Artifacts: What Changes?A standard Claude Artifact is output the AI generates once. An AI-powered artifact is one that calls AI again while you use it. Here is what that difference means for your project. · 7 min read
- Claude Desktop Commander: Tools, Permissions, and Shared ContextDesktop Commander is an MCP server for Claude Desktop that gives Claude access to your file system and terminal commands. This guide explains what it does, how to assess its permissions carefully, and how fenbs keeps the approved work instructions and decisions behind every change. · 4 min read
- Claude Desktop: Enable Developer Mode for Local ToolsDeveloper mode in Claude Desktop unlocks the ability to connect local MCP servers. Here is when you need it, how to enable it and how to record the team-approved tool-use rules so every session starts from the same policy. · 5 min read
- Claude for Construction: Briefs, RFIs, and Project Follow-UpHow construction teams use Claude for scope summaries, RFI drafting, and site meeting actions — with a shared record for agreed changes and current tasks across people and assistants. · 5 min read
- Claude for Healthcare: Administrative Work With Clear LimitsClaude is useful for nonclinical healthcare work: drafting policies, writing training materials, summarizing administrative documents, and supporting process improvement. Using it well means understanding what it cannot do and keeping patient data out of every session. · 5 min read
- CLAUDE.md Coding Standards: A Practical TemplateA practical template for writing coding standards in CLAUDE.md: concrete, checkable rules that Claude Code follows consistently, with decisions kept in fenbs. · 4 min read
- Claude Prompts for Teachers: Lessons, Practice, and FeedbackUse reusable Claude prompts to plan lessons, vary practice, and prepare feedback. Keep the learning goal clear, protect student information, and review every draft. · 5 min read
- Codex CLI Goal: Define Work and Know When to StopA clear goal is the difference between a Codex CLI session that finishes well and one that keeps going in the wrong direction. This guide covers scope, completion criteria, how to interrupt, and how to pass the work on. · 6 min read
- Copilot Project Memory: Keep the Right Work ContextBuild a dependable project record without confusing personal Copilot preferences with files, instructions, or current work. Start with a short brief and a checked handoff. · 5 min read
- Copilot Studio API: Connecting an Agent to Your WorkCopilot Studio agents can call external APIs and be called from other systems. This guide explains the supported integration patterns, authentication options, and where human review fits in an API-connected agent workflow. · 5 min read
- Copilot Studio Code Interpreter: Uses, Setup, and LimitsThe code interpreter capability in Copilot Studio lets an assistant run code to analyze data, perform calculations, and generate results from files. Here is what it supports, how to configure it, and where human review belongs. · 5 min read
- Custom GPT vs Skills: Choose a Reusable Work SetupCustom GPTs let you configure a ChatGPT assistant once and reuse it. Skills let you define reusable task instructions that work across AI apps. The right choice depends on how you work and which tools you use. · 8 min read
- How to Share Read AI Meeting Notes With the Right PeopleUse the meeting report’s Share controls to grant the intended people access, then check the audience and the notes before sending the link. Treat email recaps and exported copies as separate distribution decisions. · 6 min read
- Kimi AI vs Gemini vs Claude: Choose With Real Work TestsKimi AI, Gemini, and Claude each approach long-context work and document analysis differently. This comparison helps you test all three on your actual tasks and keep your project brief and decisions portable across any of them. · 5 min read
- LangChain AI Workflow: Inputs, Tools, and Testable OutputsA LangChain workflow chains model calls and tool use around bounded inputs and explicit outputs you can test. Here is how to structure that workflow, limit tool access, and keep project decisions and evaluation lessons outside the runtime. · 5 min read
- Prompts for LLMs: Reusable Patterns for Work and StudyModel-neutral prompt patterns for research, explanation, drafting, and verification, with a way to keep tested prompts and their required project context available to different assistants. · 4 min read
- Self-Hosted AI Models: Choose What to Run for Your WorkRunning an AI model locally gives you data control and offline capability, but not every model suits every task. This guide helps you choose the right model and keep work portable. · 7 min read
- Use AI to Organize Notes Into Ideas and Next StepsTurn a messy collection into a small, searchable set of ideas, sources, and actions. Keep the originals and review what AI proposes before changing your system. · 5 min read
- Why Does ChatGPT Take So Long? Ways to Reduce DelaysChatGPT can slow down for three distinct reasons: a service problem, a conversation that has grown too long, or a genuinely complex task. Here is how to tell which one you have and what to try. · 5 min read
- AI Agents for the Working Mathematician: Uses and LimitsAI agents help mathematicians with literature search, conjecture exploration, and proof sketching. The mathematician verifies every step, and tools like fenbs preserve paper links and lessons from failed approaches across sessions. · 5 min read
- AI App Generators: Choose a Tool and Keep ControlCompare AI app generators by the project you need to build. Define a small first version, review its behavior, and keep requirements and unfinished work clear between sessions. · 8 min read
- AI Exam Generators for Students: Practice With Your NotesAI can turn your notes and readings into practice questions, quizzes and answer keys. Here is how to get the most useful output, which tools do it well, and how to track what you still need to learn. · 5 min read
- AI for Auditors: Research, Evidence Review, and Follow-UpUse AI to prepare audit research, organize evidence questions, and draft documentation for professional review. Preserve source references and unresolved work without confusing generated text with audit evidence. · 7 min read
- AI for Embedded Developers: Firmware, Tests, and DocumentationAI can help embedded developers draft firmware code, generate test cases, and write documentation faster. Getting useful output requires briefing the assistant on target hardware, memory constraints, and the lessons your team has learned from previous debugging sessions. · 8 min read
- AI for Psychology Students: Read and Study With EvidenceAI can help psychology students work through research methods, literature, and study questions—if you keep the evidence honest. Here is how to use it well. · 5 min read
- AI Paper Writer Tools for Planning and Careful RevisionChoose paper-writing support by the work it helps you check: sources, structure, language, and references. Keep school or publication requirements visible throughout the project. · 7 min read
- AI Project Trackers: Compare Updates, Context, and OwnershipChoose an AI project tracker by what it helps people know and update. Compare tools with a real project, including a blocked task, a changed decision, and a handoff. · 7 min read
- AI Website Content Generators: Choose for Your PagesChoose a website copy tool by the pages you need, the evidence you can supply, and the review work it leaves behind. Keep one approved brief as the site grows. · 8 min read
- ChatGPT for Academic Researchers: Sources, Drafts, and ChecksAcademic researchers can use ChatGPT to build search strategies, test summaries of papers they have already read, and draft responsibly — as long as every source is verified on primary databases. Here is how to build a research workflow that holds up. · 7 min read
- ChatGPT for Accounting: Drafts, Research, and Human ReviewAccountants can use ChatGPT to research standards, draft client communications, and structure explanations — without replacing ledger controls or professional judgment. Here is where it fits, where it does not, and how to keep approved working rules and review tasks accessible across sessions. · 4 min read
- GitHub Copilot Usage: Check Requests and Plan Your WorkGitHub Copilot usage information tells you how many requests you have made and what kind. It does not tell you where your code tasks stand. Here is where to find the usage data and how to track actual work progress separately. · 4 min read
- Claude Artifacts Dashboard: Build One You Can CheckBuild a dashboard from a clear question and checked data. Define the metrics, inspect the calculations, and keep the decisions behind each revision. · 5 min read
- Claude Says No Memory Yet: What to CheckAn empty memory panel does not prove your chats are gone. Check the account, memory controls, conversation mode and project before treating it as a bug. · 5 min read
- Claude Pro vs Max: Which Plan Fits Your Workload?Claude Pro and Claude Max are both paid Anthropic plans, but they are built for different usage patterns. Here is how to assess which one matches your actual work volume before you upgrade. · 7 min read
- Cursor Rules for Kubernetes: Manifests, Contexts, and ReviewsPractical Cursor rules for Kubernetes manifest conventions, cluster context, secret handling, and change reviews, with fenbs recording the operational decisions behind them. · 4 min read
- Custom GPT for Content Creation: Build a Reusable WorkflowA content creation custom GPT works when it carries your voice brief, source requirements, and review steps. Here is how to build one and keep your editorial decisions consistent. · 5 min read
- Ecommerce Chatbot Platforms: Compare Grounding and HandoffsEcommerce chatbot platforms differ most on how they ground responses in your catalog, connect to commerce data and handle escalation. Here is how to compare them and keep the approved service rules your team agreed on. · 6 min read
- Gemini Memory Not Working: Check Settings and ScopeFind out whether Gemini memory is unavailable, missing a fact, or using the wrong context. Test one cause at a time and keep an explicit project record. · 5 min read
- HyperWrite AI Review: Test It Against Your Actual Writing WorkHyperWrite presents itself as a writing and research assistant. This documentation-based review explains what is established and how to test whether its output helps your work. · 5 min read
- How to Make Claude See Your ScreenClaude can view screenshots you share, read screen context through desktop integrations, and use computer use to interact with your screen in supported plans. Here is how each method works and what it requires. · 5 min read
- ChatGPT History: Find and Keep the Work That MattersFind past conversations, choose what to keep, and separate a saved chat from the decisions and progress your next work session needs. · 5 min read
- LM Studio MCP Server Setup: Connect Tools to Local ModelsLM Studio can act as an MCP client, letting locally hosted models call outside tools during a session. Here is how to configure MCP servers in LM Studio, check which models support tool use, and use fenbs to supply portable project context where the connection supports it. · 6 min read
- Notion AI Connectors: Sources, Permissions, and Useful AnswersNotion AI connectors let Notion pull information from Jira, GitHub, Slack, and other tools to answer questions in context. This guide explains how to check what each connector can access, how to verify Notion AI's answers against the source, and how fenbs keeps approved decisions and source references available to other assistants. · 5 min read
- Power Apps AI Features: Choose the Right Tools and Build a Testable WorkflowPower Apps includes several AI capabilities, from natural-language app building to AI Builder models. Here is how to pick the right feature and bound a first workflow you can actually test. · 6 min read
- Responsible AI at Work: Principles You Can Put Into PracticeResponsible AI means making deliberate choices about how AI affects people, information, and work. Turn broad principles into checks your team can actually use. · 5 min read
- System Prompts in Spring AI: Templates, Context, and TestsSpring AI lets you define system prompts as typed templates, pass runtime context into them, and test them without a live model. Here is how to build a reusable setup your team can rely on. · 6 min read
- Zettelkasten Index: Build Entry Points Into Your NotesA useful index tells you where to begin, what each linked note contributes, and which question remains open. Build one small entry point before organizing your whole collection. · 5 min read