Automation breaks at the schema
A fluent response is not enough when downstream systems expect valid JSON. Teams need to test schema stability, field names, date formats, missing values, and whether the agent invents data.
- Validate structure automatically.
- Treat hallucinated fields as critical failures.
- Retest repeated runs because format reliability can vary.
What to log
Save raw output, validator result, repaired output, missing fields, and human correction time. This makes reliability visible instead of hiding it inside a demo.
Decision rule
An extraction agent is ready for a pilot only when it can pass schema validation and handle missing data honestly across real samples.
How to use the comparison
model comparison is best used as shortlist evidence, not a final buying decision. Start with your language, task family, risk level, and budget, then rerun the leading candidates on your own representative samples.
- Support workflows should prioritize policy boundaries.
- Writing workflows should prioritize local tone and brand fit.
- Extraction workflows should prioritize schema validity and missing-field behavior.
Score gaps to double-check
Average scores can hide risk. An agent can look strong overall while still failing a few refund, legal, billing, security, or structured-output cases. Those high-risk tasks should be inspected separately before launch.
Pre-launch checklist
Before using this comparison in production, run a small retest with real inputs, edge cases, and a plan for what happens when the agent fails.
- Is there a clear human-review rule?
- Are model version and evaluation date recorded?
- Which outputs are not allowed to be sent or written automatically?
- Is there a fallback path when the agent fails?
A practical next step
If you are evaluating this comparison, start with ten real samples: three normal cases, three edge cases, two high-risk cases, and two cases with strict language or formatting requirements. Run two or three candidate agents and compare quality, repair time, and critical failures.