Built a tax document classifier with Jev.
Built a tax document classifier with Jev that labels the full corpus at $0.001 per page, 34x cheaper and 6x faster than the prior LLM pipeline.
The original post
Built a tax document classifier with Jev.
We ingest thousands of tax documents using an LLM pipeline I built last tax season.
I read multiple articles as late as April this year claiming AI fails at tax document classification. Wasn't the case back then, and it's proved wrong again now.
Jev classifies 100% of our tax document corpus at $0.001 per page.
34x cheaper and 6x faster than the LLM setup.
Open sourcing it:
What the author linked
- github.com/kyotofin/tax-d…
- GitHub - kyotofin/tax-doc-classifier: Tax document page classifier built on Jev decisions. 100% strict accuracy across 261 IRS forms, ~$0.001 per page. — Tax document page classifier built on Jev decisions. 100% strict accuracy across 261 IRS forms, ~$0.001 per page. - kyotofin/tax-doc-classifier
Engagement when collected
Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.
Where this case fits
Filed under agents & workflows, classification & data extraction, finance & trading. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the agents & workflows page.
Related Jev cases
found the perfect use case for @typesafeai Jev: instant
Agents
Breaking: Browser Use + Jev = Ultrafast Findings flights
AgentsBrowser agents
The gains aren’t free: Jev can't generate text Comparing
Dev toolsClassification
I built a trading bot with Jev!
Finance
Keep browsing: all 1173 Jev cases · more from @nedwize · builders · what Jev is
Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post