What would help a small team use local AI every week?

[delight0517]

We're exploring whether small AI teams need help setting up and reviewing paired evaluations before they use local models for repeatable work.

Jev Evidence Kit 0.1.0 is a small offline checker. It credits avoided ChatGPT tokens only when both outputs exactly match an expected answer. The browser example is synthetic. It doesn't route models, judge semantic quality, or verify provider billing. We don't have customers or a paid team package yet.

If your team has tried local models, what most gets in the way of using them every week?

• Choosing safe, repeatable tasks
• Comparing outputs with a useful quality check
• Fitting an evaluation into the team's workflow
• Reviewing regressions and real provider usage
• Something else

Would a setup or review session be useful enough to pay for? If so, what result would need to be included? This is an early research question; no package or price is set.

Please describe the workflow at a high level. Don't post private prompts, customer data, or API keys.

Try the synthetic demo: https://delight0517.github.io/jev-evidence-kit/?utm_source=github-discussion&utm_medium=community&utm_campaign=jev_evidence_2026q3&utm_content=exp50_v1