The model reasons.
The harness organizes the work.
Context, tools, constraints and feedback need to work together. We design them around the standards your business uses to accept a result.
Complete the task within clear limits.
Business input → context and tools → execution → quality checks → delivery or human review.
- Connect authorized data and tools, without assuming unrestricted access.
- Keep sources, steps and exceptions visible. Allow the workflow to stop when uncertain.
- Route results that cannot be assessed reliably to a person, rather than forcing a conclusion.
Use feedback to test the next version.
Failures and feedback → candidate change → independent evaluation → release decision → monitoring.
- Adjust prompts, tool configuration or workflows within an agreed scope.
- Check improvements and regressions on independent examples, not just the development set.
- Require human approval or an agreed release gate before a candidate becomes the working version.
Four parts to design together.
This is a system design approach. It does not mean every task can improve automatically, or that model weights are continuously retrained.
More than a one-off answer.
A task-specific harness
Task definitions, data and tool connections, permissions and human checkpoints.
Practical quality criteria
Representative examples, evaluation dimensions, failure categories and regression checks.
A controlled improvement process
Candidate-to-baseline comparisons, independent validation, release boundaries and rollback plans.
Traceable execution
Sources, versions, workflow steps and human decisions included in the pilot design.
These are service and pilot design directions. Specific capabilities, integrations and deliverables depend on the use case and the agreed scope.
Bring us a real task.
First, agree on what a good result looks like. Then work out how to get there.