Case Study
Building an Agent Lab with Guardrails
An internal lab for testing agent workflows, traces, and evaluation loops before client use.
- Client
- Internal R&D
- Role
- Research engineer
- Duration
- Ongoing
- Published
- 2026-02-20
Evidence layer · Context
Where the work started
Agent experiments were useful, but each prototype had its own shape and its own failure patterns.
Evidence layer · Problem
What needed to change
Agent prototypes were hard to compare because each one behaved differently and lacked a shared evaluation shape.
Evidence layer · Constraints
What shaped the solution
- Keep runtime complexity low
- Log enough context to compare failures
- Avoid treating experimental loops as production systems
Process layer · Process
How I moved through it
- Split the lab into small experiments.
- Logged prompts, outputs, and failure modes.
- Added quality checks for each workflow path.
- Kept the runtime intentionally simple.
Process layer · Solution
What shipped
Used a narrow content model and testable workflow boundaries so experiments could be compared without guesswork.
Outcome layer · Result / Impact
What changed
Faster iteration on useful agent patterns and less time spent untangling prototype drift.
The lab makes agent behavior easier to compare before it reaches client work.
Outcome layer · Reflection
What I learned
- Evaluation shape should be designed before the agent loop grows.
- Simple traces beat clever abstractions in early experiments.
Related Project
Agent Workflow Lab
A set of local agent experiments for research, coding, validation, and repeatable delivery loops.
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