AI Product Manager
Currently focused on [JK_SUB — e.g. "scaling AI features at X" or "independent AI product experiments"]. I think most AI product failures are design problems in disguise.
02 — Proof
🗺 Live Product
JK Eats
A map-first curated restaurant site. One must-order dish per place — no reviews, no crowdsourcing. Built on a static stack with a deliberate curation philosophy.
eats.jskalra.com ↗⚙ AI Automation
Gmail → AI → Notion Pipeline
[JK_ARTIFACT_2_DESCRIPTION — what signal/noise problem were you solving, what did the AI extraction pipeline look like, what idempotency decisions did you make?]
Read write-up ↗✍ Writing / POV
Experiment write-up
A piece on how I think about AI products — what works, what doesn't, and what most teams get wrong. Coming March 2026.
Read ↗03 — Point of View
[JK_POV_1 — Your first genuine belief about AI products]
Replace this with 1–2 sentences explaining your POV. Make it specific and opinionated — borrowed opinions are obvious.
[JK_POV_2 — Your second belief]
Replace this with 1–2 sentences. Think about what you've learned from shipping that most people get wrong.
[JK_POV_3 — Your third belief]
Replace this with 1–2 sentences. What's your contrarian take that you'd defend in a room full of engineers?
I'm always interested in conversations about AI product strategy — what's working, what isn't, and what we're all getting wrong. Hit me up on LinkedIn or drop a line.