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How to write an AI task brief that produces useful results
Write a six-part AI task brief with clear inputs, boundaries and checks, then practise on two conflicting induction-guide extracts.
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Before you connect an AI assistant to your work accounts
Review account permissions, enabled tools and data handling before connecting an AI assistant, then plan how to remove its access.
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Prompt injection explained with everyday examples
Recognise instructions hidden in documents and webpages, distinguish them from source facts and practise a bounded response.
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Your first connected AI workflow: turn project issues into a meeting brief
Prepare a source-linked meeting brief from project issues, with a worked kiosk-review example, retrieval checks and a copyable prompt.
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AI tools, connectors and agents: what is the difference?
Understand tools, connectors, workflows and agents through one equipment-loan example, then choose the level of automation your task needs.
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How to tell whether an AI assistant actually checked your sources
Check an AI answer against the records behind it, using a worked policy example and a reusable claim-checking template.
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MCP connectors explained: what they are and how to use them
Understand MCP connectors, choose an appropriate connection and try a verifiable first task with an AI assistant and GitHub.
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Product metrics: how to measure progress that matters to users
Choose useful product metrics, define calculations clearly and connect activation, retention, revenue and quality to a real user outcome.
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Scrum fundamentals: a practical guide with everyday examples
Understand Scrum through a community class-booking example, including accountabilities, goals, events, usable work and learning each Sprint.
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How to create a product backlog: a practical guide for Agile teams
Create a product backlog with a clear goal, evidence, useful ordering and work items your team can discuss, test and improve.
