AI agent training for engineering teams · pilot discovery
Help engineering teams build agents they can inspect.
Bring a bounded use case. Leave the pilot with a clearer understanding of agent behavior, failure modes and what needs to be true before deployment.
A useful place
to begin.
Who it’s for
Engineering managers, technical leads and developers exploring tool-using agents and internal AI applications.
Before you begin
A technical sponsor, a sandbox with approved access and a specific use case that can be tested without production data.
What you’ll work towards
A prototype, documented tool contracts, evaluation cases and a list of remaining deployment requirements.
The proposed path
Learn it.
Then try it.
- 01
Bound the system
Define tool contracts, permissions, state, a stopping policy and what is explicitly outside the agent’s authority.
- 02
Build the smallest vertical slice
Connect one tool, inspect traces and confirm each action against its actual result.
- 03
Evaluate failure modes
Test conflicting instructions, prompt injection, malformed outputs, timeouts and repeated actions. Keep a small regression set.
- 04
Review operational ownership
Discuss observability, cost limits, secrets, rollback and incident response. Separate learning results from production qualification.
An example of the work
Something you can inspect.
Build an internal issue-triage assistant on synthetic tickets. It proposes a category and next action, cites its evidence, handles missing context and requests approval before writing to another system.
Scope, delivery and timing are agreed before a pilot begins.
A little more
before you start.
Is production deployment included?
No. Any implementation needs a separate scope, access review and agreed validation. Training prototypes use synthetic or approved inputs and bounded tool access.
Can you work with our existing stack?
The initial conversation establishes the tools, environment and constraints. We only commit to an integration or delivery format after that review.
Make it relevant to your team.
Tell us what your people do and where they need more confidence.
Tell us about your team ↗