-
Customers are leaving. How do you find out whether the product is the problem?
Use a worked customer comparison, neutral interview questions and an evidence-to-action template to investigate why customers leave.
-
ChatGPT and Codex usage changes: how to prepare for December
OpenAI plans to share usage across ChatGPT and Codex from December. Understand tokens, the Instant exception and how to plan useful work around your allowance.
-
ChatGPT allowance explained: how connected app limits work
Understand how connected apps share your ChatGPT allowance, what percentage caps mean and how to choose useful limits.
-
Does your team experience the leadership you think you give? Lessons from the British Army
Your check-ins may feel helpful to you and disruptive to your team. Gather feedback on specific behaviours, choose a change and show people what happened.
-
Digital identity and cybersecurity: understand your accounts and protect your access
Understand digital identity, authentication and permissions, then use a practical access review to protect your accounts and ask better security questions.
-
Build a product workspace in ChatGPT Plus: 8 practical workflows and prompts
Build a practical product workspace in ChatGPT Plus with eight reusable prompts, a visual setup map and one worked course-catalogue example.
-
Your team disagrees about a good AI answer. Build a scoring sheet together.
Turn different opinions about an AI answer into clear scoring rules. Compare three worked examples, separate must-fix errors and run a short team exercise.
-
Your API returned 200 OK. Check the value and unit before displaying it
A successful request can still contain data your screen should reject. Practise Python checks for zero, missing values, number types and temperature units.
-
Your AI writes faster. Why is your team waiting longer?
See how faster coding can still mean slower delivery. Use a worked time comparison and a practical review-queue experiment with your team.
-
Agentic AI vs automation: who decides the next step?
What makes AI agentic? Compare rules, AI workflows and agents through one practical example, then learn how to choose the right approach for a task.
