The fenbs blogAll articles
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- Alibaba Cloud AI Coding Assistant: Setup and Daily UseFind the current product behind the Lingma name, choose the right setup path, and evaluate it on a small coding task with explicit checks. · 5 min read
- ClickUp vs. Obsidian: Tasks, Notes, and AI WorkflowsChoose ClickUp for coordinating shared tasks or Obsidian for developing linked personal notes. Here is how to keep the useful context available when your AI apps change. · 8 min read
- DeepSeek Context Window: Check the Model and ClientThe DeepSeek context window depends on the model and the app sending your request. Check both before planning a long document review or coding session. · 6 min read
- Open-Source AI Second Brain: Choose a Setup You Can MaintainCompare open-source ways to store and question your knowledge. Choose between an AI workspace, a notes-first collection, and a separate shared record for active work. · 8 min read
- How to Train ChatGPT to Think Like You, With Clear RulesTeach ChatGPT the preferences and decision criteria it can actually follow. Use explicit instructions, worked examples, and fresh tests instead of expecting a copy of your mind. · 5 min read
- A task-tracking workflow for Claude Code that you can actually reviewGive Claude Code a board with a role, tell it to read the board before it starts and write to it when it stops, and a day of agent work becomes a list you can read instead of a transcript you cannot. · 8 min read
- How to keep an AI agent from wrecking your task boardAn agent does exactly what its tools allow, as often as its goal seems to need. Three controls — a role, scopes, and a signed history — turn that from a risk into a colleague. · 6 min read
- What to look for in an MCP server for project managementMost project tools now have an MCP server. The differences that matter are not the tool list; they are how the assistant signs in, whose permissions it gets, and whether anyone can tell what it did. · 7 min read
- AI Governance Startups: Compare Vendors by the Work You NeedCompare AI governance vendors by inventory, assessments, controls, evidence, and the people who will maintain them. Separate enterprise oversight platforms from a shared record of team rules and decisions. · 8 min read
- AI Memory Problem? Find What Your Assistant Failed to ReadDiagnose a forgotten instruction by checking the saved record, the current conversation, access, and conflicting information before changing tools. · 5 min read
- AI Policy in Higher Education: A Practical TemplateAdapt a college AI policy for coursework, assessment, research, and information handling. Give faculty and students clear rules they can actually follow. · 5 min read
- ChatGPT for Writing: From Brief to Reviewed DraftUse ChatGPT to shape an outline, draft from approved material, and revise with a clear purpose. Keep the facts and final writing decisions in your hands. · 5 min read
- ChatGPT Prompts for Designers: Briefs, Critique and ResearchAdapt copyable prompts to clarify a design assignment, organize research evidence and critique options. Keep approved decisions distinct from suggestions and assumptions. · 5 min read
- ChatGPT vs Claude Enterprise: Choose a Setup Your Team Can RunCompare ChatGPT and Claude Enterprise by who can administer access, how work is shared, and what happens to data. Use a small pilot to check the controls your organization actually needs. · 7 min read
- Claude Team Collaboration: Keep Shared Work CurrentBuild a practical routine for shared briefs, private drafting, reviewed results, and clear next steps. Keep the team’s approved decisions available across the assistants people use. · 5 min read
- Company Brain Architecture for Shared AI WorkA practical company brain separates sources, agreed decisions, access and current work. Here is how those parts fit together without copying the whole business into a chat. · 6 min read
- Context Engineering Roadmap: Learn by Building a Work RoutineLearn context engineering through small, repeatable experiments. Progress from a clear task brief to selected sources, durable lessons, and checks you can rerun. · 6 min read
- How to Make Claude Think Harder on Difficult TasksGive Claude a well-defined problem, appropriate reasoning settings, and checks that can expose a wrong answer. Judge the result by evidence rather than the length of its explanation. · 5 min read
- How to Stop Claude Cowork and Check What FinishedStop active Cowork work, inspect partial results, and distinguish canceling one run from pausing scheduled tasks or removing access to your apps. · 5 min read
- How to Train ChatGPT for Coding: Give It Project ContextImprove coding answers with repository conventions, representative examples, and precise review feedback. Preserve the decisions and lessons that the next coding session needs. · 5 min read
- Perplexity for Writing: From Checked Sources to a DraftUse Perplexity to build an evidence-backed outline, draft in manageable sections, and revise without losing the source behind each claim. · 5 min read
- Knowledge Management Governance: Who Can Change What AI Reads?Set ownership, approval, access, review, and retirement rules for the knowledge your assistants use. Start with one important source and follow it through a change. · 5 min read
- Microsoft Document AI: Extract and Review Business DataChoose a Microsoft document extraction approach around the fields you need. Test the results against the originals, route exceptions to people and keep the rules for the next run. · 5 min read
- Rewrite Emails With AI: Clearer Drafts Without Changing MeaningUse AI to improve a message you have already written. Protect the facts, commitments, and requested next step while you change tone or remove clutter. · 5 min read
- Second Brain Apps for Mac: Files, Notes, and AI ContextChoose a Mac second brain by where your material lives, how you retrieve it, and what your next AI assistant needs to continue the work. · 8 min read
- Team Brain: A Shared Work Record for People and AIA team brain holds the knowledge that helps colleagues continue each other’s work. Learn what belongs in it, who keeps it current, and how AI assistants can use the same record. · 5 min read
- AI Memory Providers: Choose for Your App or Your TeamCompare memory providers by the information they retain, how it returns to an assistant and who can correct it. Separate developer infrastructure from shared continuity for everyday work. · 7 min read
- AI PPC Management: Draft, Test, and Review Campaign ChangesUse AI to propose paid-search improvements, then check the evidence before spending money. Keep the experiment, approval, and lesson together so the next campaign starts with what you learned. · 5 min read
- AI Training for Employees: A Practical Team Learning PlanTeach employees to use AI on real tasks, check the results, and improve together. Keep useful examples and lessons available after the workshop ends. · 5 min read
- ChatGPT Deep Research Context Window: What the Limits MeanA research run’s working context is different from its upload allowance, report length, and usage quota. Keep those limits separate and give each investigation a focused, checkable scope. · 5 min read
- ChatGPT Prompts for Researchers: Plan, Critique, and VerifyUse source-bounded prompts to sharpen a research question, compare papers, and challenge a method. Keep verification and scholarly judgment with the researcher. · 5 min read
- Claude Desktop Enterprise Deployment: An Admin ChecklistPlan a managed Claude Desktop rollout with the right installation context, centrally applied settings and a pilot that tests real employee access. · 5 min read
- Codex CLI Fork: Try Another Approach From a Saved SessionFork a Codex CLI session to explore another approach while keeping the original conversation. Learn what carries over, how to protect the code, and how to choose a result. · 5 min read
- Gemini for Writing: Draft and Revise Better DocumentsUse Gemini to summarize source material, outline a document, and revise your own draft. Keep control of the evidence, structure, and voice before you share it. · 5 min read
- How to Make Claude Less Agreeable and More UsefulGive Claude a clear way to disagree: name the issue, explain the evidence, and suggest a next step. Keep constructive objections separate from permission to act. · 5 min read
- How to Switch ChatGPT Models Without Losing the TaskFind the model controls available to your account, check missing options, and carry a clear task summary into the next conversation. · 5 min read
- Obsidian AI Tagger: Suggest Tags Without Creating a MessGive your AI tagger a small vocabulary, require evidence for each suggestion, and review a test batch before changing notes. Keep the agreed rules consistent when assistants change. · 5 min read
- Open-Source Zettelkasten Tools for Linked Research NotesChoose a home for connected ideas by testing source references, everyday writing, and exports. Keep the research archive separate from the findings your AI assistants need for active work. · 8 min read
- A Second Brain With Obsidian and Claude Code for Note ReviewUse Claude Code to retrieve and compare notes in an existing Obsidian vault. Keep sources intact, review the findings, and save a clear next step. · 5 min read
- Summarize a Book With AI: Check the Text and Keep Useful NotesBuild a book summary from material you may use, verify it against the actual text, and keep source-linked notes you can return to later. · 5 min read
- How to Teach ChatGPT a New Programming LanguageGive ChatGPT the language version, official references, working examples, and real compiler feedback. Build a small, tested knowledge packet that another assistant can reuse. · 5 min read
- What is AI project management?It is not a chatbot bolted onto a task list. It is a board where an AI assistant is a named member with a role, and everything it changes is signed. · 7 min read
- How to give an AI agent access to your project boardGive it its own named key, make that key smaller than your own access, and check that you can take it back without signing yourself out. · 6 min read
- What is MCP (Model Context Protocol), and what does it mean for project management?MCP is the standard way an AI assistant connects to a tool. For a team lead it means the assistant can work the real board, within limits you set. · 6 min read
- Claude Artifacts sharing limits, and what to use when a team needs moreAn Artifact can now be shared with named people who view, comment or edit. It is still a page, not a work list: no lanes, no task states, no record per task. · 7 min read
- A simple project management tool for small teams: why fewer features is the pointA small team needs a list everyone will actually open, not a system to administer. Here is what we left out of fenbs, who it suits, and who it does not. · 6 min read
- A kanban board for software developers, without the bloatFour lanes, three kinds of task, refs that never change, and an MCP endpoint so your coding assistant can work the board too. · 6 min read
- How to track bugs and feature requests in one boardKeep one list, mark each task with its kind, let the people who find problems file them directly, and triage in one sitting. · 6 min read