Running agents
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Getting an agent to run takes an afternoon. Keeping it running for six months is a different job. This path covers what lies in between: evals that show whether a change improved anything, skills as reusable procedures, the question of when several agents pay off, the cost calculation and a runbook somebody can find in an emergency. The duties from the AI Act come last because they bite at the same points.
- 7
- 71
- For anyone running agents for others – in a team, a store or a company.
- Evals
- Skills
- Multi-agent
- Cost
- AI Act
0 of 7 stations · 0 of 71 min
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- Evals: how you know it works
You build a small test set against which you measure every change to prompt, model or tool.
- Skills: procedures an agent loads on demand
You package a recurring procedure as a skill an agent loads on demand – and vet third-party skills before you use them.
- Multi-agent systems: when several are worth it
You make a reasoned decision on whether a task needs one agent or several, and know the three patterns that hold up.
- Understanding AI Costs: Tokens, Context, Caching
You work out what an agent run costs and know the levers in order of effect.
- A runbook for agents
You write a one-page runbook for an agent: ownership, limits, log, kill switch.
- The EU AI Act in November 2026: What changes on 2 December
You map an AI use to the duties of the AI Act and know who in the business supplies which evidence.
- Adopting AI at work: From a pilot to a service you can run
You set up a pilot so that its result supports a decision – even if that decision is “stop”.
Path complete. Every station on this route is lit – the practice pack below turns reading into doing.
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