Visible-Agent-Loop-Protocol

Failure Gallery

VALP is easiest to understand through failures.

This gallery lists failure shapes that normal chat transcripts often hide and the VALP evidence that catches them. The examples are intentionally small so a reader can map each failure to receipts, expected evidence, review gates, or audit output.

Failure 1: Runtime Says Completed, Evidence Is Missing

Symptom:

runtime status = completed
expected evidence file does not exist

Why it matters:

A runtime lifecycle event proves only that the runtime reached its internal state. It does not prove the assigned work produced the expected artifacts.

VALP catch:

Try it:

Failure 2: Text Was Inserted But Not Submitted

Symptom:

dispatch text appears in an agent input box
no submit action is proven
no worker output or expected evidence appears

Why it matters:

Pane automation can make a task look delegated while the agent never actually received it.

VALP catch:

Relevant docs:

Failure 3: Worker Recommendation Is Ignored

Symptom:

reviewer or worker reports a next step
coordinator finalizes without accepting, rejecting, merging, or bounding it

Why it matters:

Multi-agent work becomes cosmetic if the coordinator silently discards the useful parts of worker output.

VALP catch:

Relevant docs:

Failure 4: Long Context Pollutes Worker Dispatch

Symptom:

coordinator pastes the full conversation or long skill-router output into every worker prompt
worker spends context budget on stale or irrelevant material

Why it matters:

Large dispatch payloads increase drift risk and make the worker responsible for the leader’s context hygiene.

VALP catch:

Relevant docs:

Failure 5: Manual Work Is Marketed As Full Mode

Symptom:

human copied prompts and results
repo copy claims automated runtime dispatch proof

Why it matters:

Manual Mode can be useful evidence, but it is not runtime-backed submission or status proof.

VALP catch:

Relevant docs:

Add A Failure Case

Good failure reports include:

Use GitHub Discussions for open-ended failure stories and GitHub Issues for reproducible bugs.