SolutionsRefario / 2026

Better questions about your agent workflow.

Start with whether the work was verified and accepted. Then inspect effort, observed failures, and human corrections to choose your next experiment.

Agent Performance / exampleIllustrative
Outcome

Verified.
Accepted.

Both checks matter.

Objective verification
Passed
Human acceptance
Yes
Observed failed tools
2
Monetary cost
Unavailable
One change to test

Clarify the failed tool’s usage instructions, then compare the next similar task.

Sample evidence, not a customer result or measured improvement.

01 / Your work

A practical review for everyday coding.

Use the same evidence whether you are shipping a fix, improving a workflow, or evaluating instructions.

Developers
  • Review real agent tasks
  • See verification and acceptance together
  • Keep detailed evidence local
Technical founders
  • Understand repeated rework
  • Test clearer instructions
  • Build evidence before changing the stack
Agent builders
  • Compare similar tasks manually
  • Record the configuration used
  • Keep unsupported cost claims out
02 / Controlled experiments

Change one thing at a time.

Keep the host, task family, verification policy, and other settings stable. Compare similar work and include failures and rework, not just the fastest accepted result.

01

Capture a task

Start in the right Git repository and work on a real, bounded coding task.

02

Verify and review

Run an objective check and explicitly accept, reject, or partially accept the result.

03

Test one change

Use the recommendation to guide the next similar task. Compare outcomes before drawing conclusions.

Agent Performance / early access

Make the next task a useful experiment.

Capture the evidence, verify the result, and decide what to try next.