AI Work Needs Receipts People Can Read

2026-05-11 · 7 min read

A final answer should come with enough evidence to explain what happened, what was approved, and what changed.

Operators reviewing a structured receipt trail for an agent session

Where the team needs a receipt

When a workflow finishes, the answer may look reasonable while the path remains invisible. Without receipts, teams reconstruct the run from logs, chat history, and guesswork.

A believable answer is still hard to support when nobody can point to inputs, approvals, blocked steps, and outputs.

Leave reviewable receipts

Stable Harness keeps reviewable receipts for inputs, actions, approvals, blocked steps, and final outputs.

The product should keep enough evidence for support, operations, and incident review to answer what happened.

Receipt questions before support

The buyer should know what evidence remains after the run finishes.

flowchart LR
  A[User pain] --> B[Bounded workflow]
  B --> C[Reviewable action]
  C --> D[Operational evidence]
  D --> E[Repeatable outcome]

What to check after completion

A buyer should ask whether support and incident review can answer “what happened” without rebuilding the run by hand.

The user-facing value is a result that can be explained without rerunning the whole investigation.

Model Cost And Privacy

Use frontier models only where they matter.

Flev workflows can route routine, structured steps to local or private small models while keeping stronger models available for complex reasoning.

Routine steps

Classification, extraction, validation, routing, and repair do not always need the most expensive model in the stack.

Reviewable routing

Teams should be able to see which model handled which step, why fallback exists, and who can approve changes.

Small-model ready

Better Call evidence shows tool-call accuracy improving from 73.4% to 83.8% on 3,625 granite4.1:3b BFCL v4 cases.

Read the model choice guide

User Guides

Have one failing engineering path worth turning into a pilot?

Start with the DevOps intake: one failing CI, deploy, Kubernetes, or incident path, one owner, one useful result.

Start the intake