Every module, one map
59 built modules, 1 in the pipeline. Filter by level and track.
Showing 60 of 60 modules
How to Prompt
How current frontier models follow instructions, and the five fixes that turn vague prompts into precise ones.
AI at Work 101
What a large language model actually is, what that makes it good and bad at, and how the four assistants most organisations use ({{fact:general_assistants}}) package the same idea in different surfaces.
Choosing Your AI Assistant
How to choose between {{fact:general_assistants}} for an organisation, starting from what you already pay for rather than from benchmark tables.
Claude 101
What Claude is, how it differs from ChatGPT, and how to use its three surfaces (browser, desktop, Cowork) for real work.
Gemini 101
What Gemini is, where it lives (the app, the desktop apps, Chrome, and the side panel inside Workspace), what the plans buy you, and how to get a first useful result out of it.
ChatGPT 101
What ChatGPT is, where it runs (web, desktop, mobile, browser), what the plans buy you, how the model picker works, and how to get a first useful result and improve it.
Copilot 101
Which of the four things called Copilot you actually have, what each can see, and how to get a first useful result out of the one in front of you.
Sound Like You
How to capture your writing voice, taste, and hard rules in one compact file any AI can use.
Stop Writing Like AI
The patterns that make text read as machine-written, from negative parallelism to banned vocabulary.
Stop Prompting, Start Briefing
Why maintained context files beat repeated prompting, and how to manage them with Obsidian.
Set Up Claude Cowork
How Cowork works and how to set up the folder and context files that make it effective.
Saved Info and Gems
How to stop re-typing who you are and what you want: standing context through Saved info, and repeatable tasks through Gems you build once and use every week.
NotebookLM for Work
How to do research that stays inside the sources you chose: notebooks, sources, cited answers, Audio and Video Overviews, and sharing, in the product Google now calls {{fact:google_notebooklm_name}}.
Custom Instructions and Memory
How ChatGPT personalises itself: custom instructions you write, memory it builds from your chats, temporary chats that use neither, and how the three interact.
ChatGPT Projects
What a Project is in ChatGPT, what it holds (files, instructions, chats, memory), when a Project beats a chat, and how to make files the context instead of your prompts.
Copilot Notebooks and Pages
How to stop treating Copilot as a chat window: Pages as a persistent canvas you and your team edit, Notebooks as a curated set of files Copilot grounds on, and the personalisation settings that carry who you are between sessions.
Claude Skills
How skills turn your repeated tasks into reusable, auto-triggering workflows.
Claude Connectors
How to connect Claude to the tools where your work already lives, and the restraint rules that keep it cheap and safe.
Cowork + Projects
How Projects give Cowork persistent memory, standing instructions, and scheduled tasks.
Claude as Your Computer
How Claude operates your computer directly, and how to set that up without giving away the keys.
Gemini in Workspace
How Gemini works inside the Workspace apps you already have open: the Ask Gemini side panel, what it can do in each app, how to point it at Drive files by name, what the admin has switched on, and what happens to your data.
Deep Research and Canvas
How to hand Gemini a research question and get a sourced report back, how to review that report properly, how to co-edit a document or a piece of code in Canvas instead of copying text in and out of chat, and how to schedule the small recurring tasks where your account allows it.
Connectors and Apps
How ChatGPT connects to Google Drive, Gmail, calendars, SharePoint, Slack, GitHub and other services through apps and plugins, what an app can do (search, sync, actions), how permissions decide when ChatGPT asks first, and where the trust boundary sits.
Custom GPTs
How to build, test and share a custom GPT for a repeated task: instructions, knowledge files, capabilities, apps or actions, and the sharing levels a workspace allows. You will also learn where GPTs are going, because OpenAI is retiring them in favour of plugins, and how to build so the move is cheap.
Copilot in Microsoft 365
What Copilot actually does inside Outlook, Teams, Word, Excel and PowerPoint, why the Graph grounding behind it makes it different from any standalone chat, and where each app's output is trustworthy and where it is not.
Copilot Agents and Copilot Studio
What a Copilot agent is, the two architectures Microsoft documents, how to build a declarative agent in minutes with Agent Builder, when to move up to Copilot Studio for knowledge sources and actions, and how agents are governed before anyone else can use yours.
AI Slides
The research-first pipeline that produces decks worth presenting, plus the brand setup that keeps a whole team on-style.
Claude for Excel
How to get real multi-tab spreadsheets with working formulas out of Cowork, with you controlling the assumptions.
Claude Design
What Claude Design produces (sites, decks, video) and the design-system workflow that keeps output on-brand instead of generic.
Claude Code for Non-Coders
How to ship websites, dashboards, and prototypes with Claude Code without writing or reading code.
Gemini for Sheets and Slides
How to get a real spreadsheet and a real deck out of Gemini: assumptions first, then formulas and tables in Sheets you can trust, then a deck in Slides generated from your own material and edited slide by slide.
Deep Research and Agent Mode
How to brief and review a deep research task, and how to delegate a multi-step task to ChatGPT Work, the agent that replaced agent mode, including its cloud browser, its confirmations, and the line between what it may do alone and what stays with you.
AI for Your Team
A five-day rollout playbook that works on any of the four assistants, built around recurring deliverables rather than general enthusiasm.
Claude for Your Team
A 5-day playbook for rolling Claude out to a team so adoption actually sticks.
Stop Hitting Claude Limits
Why usage disappears (every message re-reads the whole conversation) and the habits that stop it.
Claude Certificates
Which Claude certifications are real, which are free, which are scams, and the path through Anthropic's catalogue for your role.
Prompt Engineering Deep Dive
The complete prompting toolkit, from structure and roles to hallucination control and complex industry prompts, plus how to measure prompt quality with evaluations.
Agent Harness Engineering
How agents actually work under the hood: the model supplies intelligence, and everything else is a harness you can build.
Agentic Futures Briefing
Where agentic engineering is heading across three horizons: what's standard practice now, what arrives within a quarter, and what's forming six months out.
Claude Code for Developers
How to run Claude Code as a professional engineering tool: operating manuals, subagents, hooks, skills, MCP, and git/CI workflows.
Gemini CLI and Code Assist
The four ways a developer reaches Gemini, which of them still work for which account after the June 2026 changes, how to run an agent in the terminal with a context file and MCP servers, how the IDE agent mode differs, how to prototype in AI Studio and ship on the API, and how to build a first agent loop of your own.
Codex for Developers
How to run Codex as a professional tool across its surfaces, write AGENTS.md files that change behaviour, set sandbox and approval policy on purpose, extend it with MCP servers and skills, wire it into git and CI, and build a first agent loop on the Responses API and the Agents SDK.
GitHub Copilot for Developers
How GitHub Copilot's surfaces fit together, from completions and chat through agent mode in the IDE and the CLI to the cloud agent that opens pull requests, and how instruction files, custom agents, MCP servers and code review turn it into a workflow a team can share.
Working Safely with AI
What may and may not go into an assistant, where personal data and the EU AI Act touch everyday use, how prompt injection reaches you through connectors and browsing, and how to keep a named human accountable for every output that leaves your desk.
AI for Sales and Revenue Teams
The five sales workflows where an assistant pays for itself: pipeline triage, account and meeting prep, proposal and follow-up drafting from a brief, objection practice, and forecast commentary.
AI for HR and People
How to turn a role brief into a job ad and an interview kit, draft and plain-language a policy, build onboarding material, and run a bias check on all of it, without ever pasting a candidate or employee record into the wrong place.
AI for Finance
A verification discipline for finance work with an assistant: assumptions before formulas, formulas before numbers, a reconciliation check before anything leaves your desk, and commentary that points at the cells it came from.
AI for Project Managers
To turn raw updates into a status report people read, keep a decision log that survives staff turnover, write stakeholder communications for the audience rather than the project, maintain a risk register that changes, and schedule the recurring briefings where your platform supports them.
AI for Legal and Compliance Teams
Three contract-review patterns (clause extraction, playbook comparison, plain-language summary), how to build and use a clause library, and the four guardrails that decide whether any of it is safe: confidentiality, privilege, hallucinated citations, and what never leaves the firm.
AI for Content and SEO Teams
Two half-sessions with their own exercises: content (briefs to drafts in the house voice, editing, repurposing across channels, and the anti-AI-writing habit) and SEO (keyword clustering, search-intent mapping, on-page briefs, metadata at scale, and checking what AI answers say about your brand), plus the short list of what not to automate.
AI for Tech Teams
The non-agentic developer workflow: the reading-and-writing work around the code that an assistant in a chat does well today, on any platform, without touching your repository. Documentation and ADRs, code review summaries, ticket triage and refinement, incident notes and post-mortems, runbooks.
AI Strategy Briefing for Executives
What has changed in the assistants over the last eighteen months, what an organisation should do in the next ninety days, and how to frame build versus buy, capability versus tools, risk posture and return on investment so the board can decide rather than defer.
Measuring AI Adoption
What the admin dashboards on all four assistants actually measure, how to take a time-saved baseline that survives a finance review, which quality signals to collect, and what good looks like at three, six and twelve months.
Gemini for Leaders
What a Gemini rollout across Workspace actually involves: which licences buy what, which switches the admin console has and what they default to, what Google commits to about your data, how adoption is measured with the reports you already have, what Google's own training and certification landscape offers, and how to sequence the first ninety days.
ChatGPT for Leaders
How to roll ChatGPT out across an organisation: which plan ({{fact:chatgpt_business_plans}}), what the workspace admin surface controls, where the data and training defaults sit, how to measure adoption with what OpenAI provides, what OpenAI's training and certification landscape offers your people, and a 90-day plan that survives contact with a real company.
Copilot for Leaders
What a Microsoft 365 Copilot rollout actually costs and buys, the Purview and Copilot controls that decide whether it is safe, the dashboards that tell you whether it is working, the Microsoft training and certification landscape, and a 90-day plan that survives contact with a real organisation.
Build Your Own MCP Connector
How the Model Context Protocol works and how to wrap an internal tool or API as a connector any MCP-capable assistant can call.
Building on the Claude API
The Claude API from first call to first agent: messages, system prompts, streaming, tool use, and structured output.
Claude Solution Architecture
How to design a Claude solution end to end: platform choice, architecture pattern, evaluation, cost model, and safety plan: the five decisions every deployment stands or falls on.
Plugins
Bundle skills and connectors into installable plugins for a team.