TOOL LAB / TEST THE JOB

Do not choose a tool by hype. Put it through the same job.

Tool Lab starts with a task specimen: same input, same criteria, same conditions. We only say a tool fits a job when the evidence supports that scope; without a benchmark, the page says what still needs to be measured.

Open the test bench ↓

TASK SPECIMENSame input · same conditions · same criteria

Source validity

Output quality

Latency / cost

Control / failure

EVIDENCE TRAY
Output sample · source check · failures · test conditions
Leave it empty until a real benchmark exists.

JOB BENCH

Different jobs need different criteria.

Research does not fail like coding; coding does not fail like automation. A universal leaderboard often hides the question that matters: where will this tool fail in your work?

Research

SOURCE / CITATION

Test: retrieval, source quality, citation correctness, context handling, synthesis and whether the artifact can be reused.

Do not infer from: one fluent answer or a fast search demo.

No scoped direct benchmark → no published winner.

Coding

REPO TASK

Test: patch quality, tests, repo context, diff quality, latency, cost and recovery when the agent goes wrong.

Do not infer from: a clean-repo new-file demo.

A winner only means something inside the declared task set, repo and version.

Image / Video

CONTROL / CONSISTENCY

Test: prompt adherence, consistency, editability, export, speed and cost on your actual asset class.

Do not infer from: the best image selected for a gallery.

Choose by workflow fit, not by the prettiest showcase.

Automation

OPS / CONTROL

Test: triggers, auth, retry, observability, data sensitivity and human approval points.

Do not infer from: integration count or the word “agentic.”

A simple flow does not automatically need an agent.