Debug Your AI: Private Team Workshop

This isn't a lecture — we roll up our sleeves and work on your product with your data.

You bring your real traces and interaction logs. Over 1-2 focused days, we systematically find where your AI is breaking down, why users are losing trust, and what to fix first.

Is this right for your team?

This workshop is built for teams who:

• Have a live AI product or feature with real users

• Have access to recent traces or interaction logs

• Have a clear owner (PM or engineering lead) and dedicated engineering time

• Feel stuck — lots of ideas for improvement but no clear evidence of what will actually move the needle

What happens in the workshop

• We import and slice your logs to expose hidden failure patterns

• We build a catalog of failure modes specific to your product

• We quantify where users are losing trust and where the model is wasting effort

• We design metrics and automated checks so you can measure the impact of every fix

• We build a prioritized "fix first / fix next / don't bother" roadmap

What you walk away with

• A ranked list of your top 20–40 failure modes with real examples from your own logs

• A 30–60 day implementation plan tied to your product metrics

• A measurement plan — what to track and how to know changes actually worked

• Clarity on whether a deeper engagement makes sense for your situation

Before the workshop, your team will need to:

• Choose one specific AI product or feature to focus on

• Collect recent traces or interaction logs (we provide guidance on format)

• Identify 2–5 team members to participate (engineers, PMs, domain experts)

This methodology has been refined across 4,000+ practitioners from 500+ companies. It's the same systematic approach used in our advisory engagements — compressed into an intensive, hands-on format focused entirely on your product.

Note: A discount is available for those who are ok with making the session and data publicly available as teaching materials.