The fenbs blogAll articles
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- Microsoft To Do vs Planner: Which One for Your TasksMicrosoft To Do is a list for one person; Planner is a board for a team. How they differ on accounts, sharing and assignments, how Planner tasks show up in To Do, and where a shared board with AI assistants on it fits instead. · 7 min read
- Workflow Automation Tools for Small Teams: Zapier, Make, n8n and AgentsZapier, Make and n8n all connect your apps with rules you set up once; AI agents decide the steps as they go. How the three compare for a small team, a few n8n workflow examples, and a simple test for when an agent beats a rule. · 7 min read
- Copilot Notebooks vs ChatGPT Projects vs Claude ProjectsThree AI workspaces that keep your files and chats for one piece of work together. Microsoft Copilot Notebooks answers only from what you add; ChatGPT and Claude Projects add the model’s own knowledge. How they compare on sources, grounding, sharing and accounts. · 7 min read
- How to Use AI at Work: A Starter Guide for TeamsA starter guide for teams: the three rules to agree before anyone opens a chat window, which account to use, eight safe first uses, what to keep away from AI, a one-page policy you can copy, and a 30-day way to roll it out. · 7 min read
- Webflow MCP Server: Site Edits From an AgentWebflow runs its own hosted MCP server at mcp.webflow.com. How to connect it to Claude, Claude Code or Cursor, who can authorize it, what it can change on a site, when the Designer has to be open, how drafts and publishing work, and the habits that keep an agent from shipping a mistake. · 8 min read
- WordPress MCP: Publishing From an AI AssistantWordPress MCP means one of three things: the official MCP Adapter for self-hosted sites, which grew out of Automattic’s original plugin; the hosted server built into WordPress.com and Jetpack; or a third-party plugin. What each one exposes, how to connect it, and how to let an assistant draft posts without letting it publish them. · 7 min read
- Zoom MCP: Meetings and Recordings for an AgentZoom hosts its own MCP servers for meetings, recordings, docs, chat and whiteboards. The two ways to connect (the Zoom for Claude connector, or your own Zoom app with OAuth), which scopes each tool needs, the limits, and how to turn a transcript into tasks without copying the transcript around. · 6 min read
- GitHub Spark Is Shutting Down: What to Use InsteadGitHub retired Spark in August 2026, after retiring GitHub Models, the service behind its AI features, in July. What happened and when, what still runs, how to get your app’s code out and running on its own, and what to build with instead, from Copilot in VS Code to browser app builders. · 6 min read
- Discord MCP: Bots, Channels and CautionDiscord does not publish its own MCP server, so a Discord MCP server is a community project that signs in as a bot you create. How that works, what the bot token and intents really grant, how to set one up in Claude Code, and the precautions that keep an assistant from posting, deleting or banning on its own. · 8 min read
- Elasticsearch MCP Server: Search and Logs From an AgentElastic’s first-party MCP server is the Agent Builder endpoint in Kibana, and the older standalone Elasticsearch MCP server is deprecated. Which one to use, the tools it exposes, how to create a read-only API key limited to your log indices, and how to connect Claude, Cursor and VS Code. · 7 min read
- QuickBooks MCP: Accounting Data in an AI AssistantIntuit offers two ways to put QuickBooks in an AI assistant: a hosted QuickBooks connector in Claude (and a plugin in ChatGPT), and an open source local MCP server for developers. What each can read and change, why neither covers QuickBooks Desktop, how to run the local server read-only, and what a person should review. · 7 min read
- What Is Claude AI? The Assistant, the Apps and the ModelsClaude is Anthropic’s AI assistant. What it is, where you use it (web, desktop, mobile), what projects, artifacts, connectors and Cowork add, how Claude Code and the API fit in, which models it runs on, and which plan includes what. · 8 min read
- What Is Anthropic? The Company Behind ClaudeAnthropic is the AI safety and research company that makes Claude. When it was founded and by whom, how it is structured, what it sells, and how its safety policies work, taken from Anthropic’s own pages. · 7 min read
- Claude vs ChatGPT: How They Differ for WorkClaude and ChatGPT now have the same shape: chat, projects, memory, connections to your apps, an agent for longer jobs and a coding agent. Where they differ for everyday work, a pick-by-job list, and a 30-minute test to run on your own tasks. · 8 min read
- ChatGPT Alternatives: Claude, Gemini, Copilot and Others ComparedThe main alternatives to ChatGPT are Claude, Gemini, Microsoft Copilot, Perplexity, Meta AI and open-weight models you run yourself. Which one fits depends on the job, where your files live and what happens to your data, so this compares them on exactly that. · 8 min read
- Prompt Engineering: The Techniques That Still MatterModels got better at guessing what you meant, and most prompt tricks stopped mattering. Seven techniques did not: a clear task, context, examples, structure, an output format, iterating and evaluating. Here they are, from the vendors’ own guides, with a template you can reuse. · 7 min read
- What Is a Large Language Model? A Plain ExplanationA large language model is a program trained on enormous amounts of text to predict what comes next, one small piece at a time. How that produces useful answers, why it sometimes produces confident wrong ones, and what tools, agents and open models add. · 7 min read
- Google Tasks: How to Use It Well (and When to Outgrow It)Google Tasks is a to-do list built into Gmail, Calendar, Chat and Docs. How to set up lists, dates, deadlines, repeats, stars and subtasks so it stays useful, how assigning works in Chat spaces and Docs, where sharing stops, and the signs a team has outgrown it. · 8 min read
- Apps for Teams: The Small-Team StackA small team needs one app for each of seven jobs: chat, video calls, documents, a task board, a calendar, file storage and an AI assistant. What to decide for each, what to avoid, the rules that cut across all of them, and a worked example for a six-person team. · 7 min read
- SOP Examples: Eight Procedures You Can AdaptEight standard operating procedure examples a small US business or team actually uses: a refund for an order you cannot ship, new-hire paperwork, month-end close, a code release, support triage, vendor invoices, social posts and incident response. Each with its trigger, owner, steps and finish line. · 8 min read
- GitHub Actions for CI/CD: A First Workflow That Tests and DeploysOne YAML file that runs your tests on every pull request and deploys when a change is merged to main. The whole workflow, then each part: triggers, jobs, runners, a matrix, caching, secrets, and an environment that waits for a person to approve. · 8 min read
- Google AI Tools: Gemini, Gemini Notebook, AI Studio and MoreGoogle’s AI tools, sorted by the job each one does: the Gemini app, AI Mode in Search, Gemini in Gmail, Docs, Sheets and Meet, Gemini Notebook (formerly NotebookLM), Gems and skills, Google AI Studio, the Agent Platform that used to be Vertex AI, and the coding tools. What each is for and who can use it. · 8 min read
- Claude vs Gemini for WorkClaude and Gemini both chat, keep project context, reach your other apps and run longer tasks. They differ most in where your work already lives, how you add your own tools, and what each does with your data. A side-by-side for work, with a pick-by-job list. · 8 min read
- Gemini vs ChatGPT for Work: Apps, Workspace Fit and AgentsGemini and ChatGPT now have the same parts: chat, project spaces, reusable setups, connections to your apps, an agent and a coding agent. Where they differ for work is which office suite they fit, who can add their own tools, how the agents are offered, and what each does with your data. · 8 min read
- ChatGPT for Business: Plans, Uses and What to Keep Out of ItWhat the Business, Enterprise and Edu plans add over a personal ChatGPT account, the uses that pay off first, what should never go in, and an acceptable-use checklist you can adopt this week. · 8 min read
- ChatGPT Prompts for Work: Forty Prompts That Save TimeForty ready-to-copy ChatGPT prompts grouped by job, from email and meetings to spreadsheets, support, sales and HR, each with the one thing to check before you use what comes back. · 13 min read
- What Is RAG (Retrieval-Augmented Generation)?RAG is how an AI assistant answers from your documents instead of from memory: find the relevant passages first, put them in front of the model, and ask it to answer from them. How retrieval, chunking, embeddings and citations fit together, with a worked example and a checklist. · 8 min read
- What Is Scrum? Roles, Events and Artifacts in Plain EnglishScrum is a lightweight framework in which a small team delivers work in Sprints of a month or less. What the word means, the three accountabilities, the five events, the three artifacts and their commitments, the five values, a one-page cheat sheet, and when a small team should pick Kanban instead. · 9 min read
- How to Use Trello for Project ManagementTrello gives you a board, lists and cards, and leaves the workflow to you. How to set one up for a small team: lists, cards, checklists, dates, labels, members, templates, views by plan, Power-Ups and automation, a worked example board, and where Trello stops. · 8 min read
- Client Portals: What Clients Need to See (and What Not)A client portal is a signed-in place where each client sees the status of their work, approves things, gets files and invoices, and sends messages. What belongs in one, what must stay out, how a portal compares with a shared board and with email updates, and the security basics that keep it safe. · 8 min read
- What Is a CI/CD Pipeline? Stages, Tools and a First SetupA CI/CD pipeline is the automated path every code change takes from a commit to running in production: build, test, package, deploy, verify. What continuous integration, continuous delivery and continuous deployment each mean, the stages, a vendor-neutral starter pipeline, and the numbers worth measuring. · 7 min read
- CI/CD Tools Compared: GitHub Actions, GitLab CI and MoreEight CI/CD tools compared by what they actually do: where the build machines run, where your code has to live, and what you maintain yourself. Fit by team size and code host, with no ranking and no prices. · 7 min read
- DevOps Tools: The Small-Team StackA small team needs one tool for each of eight jobs, from source control to incident tracking, and can skip most of what large platform teams run. The stack by job, a one-page template to write yours down, and what to leave out until it hurts. · 6 min read
- What Is DevOps? A Plain Explanation for Small TeamsDevOps means the people who build software and the people who run it share the job of getting it to users safely, and automate the path between the two. Where the word came from, the CALMS ideas, the core practices, how it is measured, and where AI coding agents fit. · 6 min read
- DORA Metrics: The Five Numbers and How to Track Them SimplyDORA now measures software delivery with five metrics, not the original four. Each one as DORA defines it today, how to track all five from a deploy log and a spreadsheet, a worked month of deploys, and the pitfalls DORA itself warns about. · 7 min read
- What Is Agile? The Meaning, the Manifesto and How Small Teams Use ItAgile means delivering work in small, usable pieces, checking each one with the people it is for, and changing the plan as you learn. The plain definition, the four values in brief, what agile is not, and a version a small team can start on Monday. · 7 min read
- The Agile Manifesto: Four Values and Twelve Principles, ExplainedThe full text of the Agile Manifesto, where it came from, and each of its four values and twelve principles quoted exactly, with what it means in plain words and what it looks like on a task board. · 8 min read
- User Story Mapping: How to Build a Map and Slice ReleasesA story map lays your backlog out the way a customer moves through your product, so you can see the whole thing and cut a first release that works end to end. The parts, how to build one, a worked example for an online store’s checkout, and how the slices become cards on a board. · 8 min read
- Claude Models Explained: Opus, Sonnet and HaikuAnthropic’s current Claude models are Fable 5.1, Opus 5.5, Sonnet 5.5 and Haiku 4.5. What each family is for, how to pick one, context windows and cutoffs, IDs versus aliases, and the retirement dates to watch. · 8 min read
- Technical Documentation: What to Write and How to Keep It CurrentThe documents a software team actually needs, sorted by what the reader is trying to do: READMEs, how-to guides, reference and API docs, runbooks, ADRs and onboarding. Plus docs as code, a habit that keeps them true, and the short files AI agents read. · 7 min read
- Cloud-Based Project Management Software: What to Look ForWhat “cloud-based” really means next to self-hosted, the criteria worth checking before you commit, the security questions CISA suggests asking, how AI assistants should get in, and how to move a team over without losing anything. · 7 min read
- Product Marketing AI: Positioning, Evidence, and LaunchesUse AI to prepare positioning and launch materials from verified product facts. Give every contributor the same evidence, approved decisions, and clear review tasks. · 7 min read
- AI for Reading Research Papers: Understand and Check ClaimsUse AI to question a research paper, unpack difficult methods, and locate evidence. Check the original text before accepting an explanation or reusing a finding. · 5 min read
- AI Prompts for Editing: Improve Clarity Without Changing MeaningCopy editing prompts for structure, sentence clarity, tone, and factual consistency. Set boundaries that help an assistant suggest changes you can review. · 5 min read
- AI Sentiment Analysis: Label Feedback and Check the ResultsUse AI to organize expressed opinions in feedback, then test the labels against human-reviewed examples. Keep ambiguity visible and separate sentiment from the action a comment needs. · 6 min read
- ChatGPT Memory Recall: What It Can RetrieveChatGPT can use relevant remembered context without reproducing every earlier conversation. Learn how to request a useful recall and check the evidence behind it. · 5 min read
- ChatGPT Study Mode Not Working? Checks and WorkaroundsFind out whether the problem is a missing Study option, a failed conversation, unreadable material, or tutoring that does not help. Keep a checkpoint before troubleshooting. · 5 min read
- Claude for Debugging: Reproduce, Investigate, and TestUse Claude to investigate a repeatable failure, test competing explanations, and verify a focused fix. Keep the evidence and next step clear enough for another developer to continue. · 5 min read