How we build AI agents
Every agent passes your tests first
Each task gets a result someone can check, a test set of your real cases and a staged release. A person approves each action until the agent passes your test. In a build sprint, the agent goes live by working day 10, with handover by week 4.
- Suggest
- The agent proposes. A person decides.
- Draft
- The agent prepares. A person approves.
- Act
- The agent acts and logs once it passes.
Build sprint, step by step
AI agent development process
- 01
Pick one task
The scope names the check and the metric.
- 02
Write the context pack
You approve the rules and examples the agent uses.
- 03
Prototype on your data
We review the first 12 outputs by hand.
- 04
Build a test set
Real cases, hard ones included.
- 05
Release in stages
The agent suggests, drafts, then acts once tests pass.
- 06
Run it
We review errors weekly and set a keep-or-retire date.
- 07
Hand it over
Prompts, test sets and runbooks stay in your accounts.
The run plan re-runs each agent’s test set after model or prompt changes. Every build labels AI-written content and keeps a run log.
AI agent development FAQ
How do you know an agent is ready?
Its scorecard passes the test your team signs in week one.
What if an agent doesn’t pass?
It stays in suggest mode, with a person deciding, while we fix it. It acts on its own only once it passes the test your team signs in week one.
Which tasks should stay with a person?
Tasks with no clear check stay with a person. That includes judgment calls and any high-risk decision.
What should we automate first?
Bring one task your team repeats. The founder will tell you if an agent can do it and how we’d test it.
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