COMMUNITY OBSERVEDMetric claims: AUTHOR REPORTEDSOURCE AUDITED🤖 Jev Agent

Lurk

Find and monitor Reddit threads to get cited by AI, for free.

Overview & result

everyone's making demos with Jev but nobody is making real products introducing lurk.so find and monitor reddit threads to get cited by AI > FREE > 4000 reddit threads scanned > email, discord, slack only possible to give for free bc of Jev & @getanyapi

How Jev fits in the loop

  1. Ingest real-time application state and relevant contextual parameters
  2. Format the decision problem as a bounded Choice or Noul schema
  3. Query Jev to receive a typed probability distribution over the options
  4. Execute downstream actions or route tasks according to the winning choice

How to reproduce

  1. Inspect the original showcase and source material at https://x.com/mxfp4/status/2101070906852298910
  2. Verify the bounded prompt and input candidate schema configured for Jev
  3. Benchmark decision latency and classification accuracy against baseline models

Why this build matters

Demonstrates a real-world, cost-effective implementation of Jev in a evaluation & guardrails scenario, replacing expensive generative calls with fast typed decisions.

Limitations

  • Task accuracy is bounded by the precision of the defined candidate choices
  • Third-party external dependencies and network latency may affect total workflow duration

Patterns