The Build-Operate Divide: Bridging Product Vision and AI Operational Reality
summary
Claim: product progress stalls at a "quality chasm" unless iteration and ops scale; the solution is a unified pipeline from prototyping and prompt tests to benchmarked evals and continuous monitoring. Teams convert QA/CX staff into evaluators, run human-in-the-loop reviews at high‑risk decision points, and often appoint a single AI quality lead (one or two people to start) to run experiments and label data. Practical toolset example: the Freeplay platform for experiments, evaluations, monitoring and labeling.
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chapters (12)
- 0:00Intro
- 0:48Meet the speakers
- 1:12Traditional ML vs Gen AI
- 2:08Quality Chasm
- 3:33Hallucination
- 4:44Human Loop
- 5:24Models are evolving
- 6:51Quality is also evolving
- 7:40QA roles are transforming
- 8:08QA scope is expanding
- 9:08AI quality lead
- 11:12Summary
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