Ground Truth: AI Feature Teardown, Eval Suite & Build RoadmapKylie D'Alessandro
Find out what your AI feature is actually doing.
Most AI features work in the demo and get weird in production.
The prompt returns something great nine times out of ten. Then a customer hits the tenth case, the output is confidently wrong, and nobody can tell you why because nobody's measuring.
Ground Truth is a structured teardown of your AI feature. I go through what you've built, find where it will fail, and tell you what to do about it in priority order.
What I look at
Output quality - what "good" means for your use case, and whether you can currently tell when you're not getting it.
Failure modes - the inputs that break it, the ones you haven't tested, and what happens when the model returns something unparseable.
Cost and latency - what you're actually spending per call, and where that goes wrong at 10× volume.
Evals - whether you have any, and the smallest useful set you could build this week.
Architecture - where the boundary between your code and the model should sit, and whether it's currently in the right place.
What you get
A written assessment. Specific findings tied to specific parts of your system, each tagged by priority, with an honest read on which problems are worth solving now versus later.
Who this is for
Founders and small teams who have shipped an AI feature or built one that's stuck at the prototype stage and want a second set of eyes from someone who has built and broken these systems already.
Who this isn't for
If you haven't built anything yet, this is premature. You want a build, not an audit. Message me and we'll talk about that instead.
About me
Former cloud and application consultant at Capgemini. B.S. in Computer Science from Fordham, finishing an M.S. in AI at CU Boulder. I've shipped an AI-graded learning platform, a structured-output content pipeline with real failure handling, and MainLoop, a learning platform running live. I'm most useful on the unglamorous parts.
Starting at$400
Duration5 days
Tags
AI Consultant
AI Developer
Product Strategist
Service provided by
Kylie D'Alessandro proNew York, USA
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Ground Truth: AI Feature Teardown, Eval Suite & Build RoadmapKylie D'Alessandro
Starting at$400
Duration5 days
Tags
AI Consultant
AI Developer
Product Strategist
Find out what your AI feature is actually doing.
Most AI features work in the demo and get weird in production.
The prompt returns something great nine times out of ten. Then a customer hits the tenth case, the output is confidently wrong, and nobody can tell you why because nobody's measuring.
Ground Truth is a structured teardown of your AI feature. I go through what you've built, find where it will fail, and tell you what to do about it in priority order.
What I look at
Output quality - what "good" means for your use case, and whether you can currently tell when you're not getting it.
Failure modes - the inputs that break it, the ones you haven't tested, and what happens when the model returns something unparseable.
Cost and latency - what you're actually spending per call, and where that goes wrong at 10× volume.
Evals - whether you have any, and the smallest useful set you could build this week.
Architecture - where the boundary between your code and the model should sit, and whether it's currently in the right place.
What you get
A written assessment. Specific findings tied to specific parts of your system, each tagged by priority, with an honest read on which problems are worth solving now versus later.
Who this is for
Founders and small teams who have shipped an AI feature or built one that's stuck at the prototype stage and want a second set of eyes from someone who has built and broken these systems already.
Who this isn't for
If you haven't built anything yet, this is premature. You want a build, not an audit. Message me and we'll talk about that instead.
About me
Former cloud and application consultant at Capgemini. B.S. in Computer Science from Fordham, finishing an M.S. in AI at CU Boulder. I've shipped an AI-graded learning platform, a structured-output content pipeline with real failure handling, and MainLoop, a learning platform running live. I'm most useful on the unglamorous parts.
$400