Share the AI feature that's stuck. A senior engineer takes a considered look, finds the real reason, and starts putting it right within the week.
One week · Straight to work
Share What's Stuck →If it's been "almost ready" for weeks and you're the one who has to answer for it, that's the real problem, not the AI.
A long list of AI ideas looks like progress. It isn't, until one of them ships.
For MyEPC, we built AI that checks itself before it acts, and it's still in daily use.
Tell us what's stuck — the feature, what you've tried, who's asking about it.
Our team confirms it's a real fit before any engineering time is committed — usually 20-30 minutes.
If it's a fit, a senior engineer starts on your actual code, not a slide deck.
A production agentic RAG system, routing across a vector DB, a graph DB, and Postgres, with per-tool-call authorization checks. Still in daily use.
$1.5M contract, 4.5+ years. Grew into the largest virtual power plant in North America.
It's paid work, not a sales call. A senior engineer spends real time diagnosing your stalled AI feature and starts fixing the weakest point, in your actual code, within one week.
A short qualifying call, usually 20-30 minutes, confirms it's a real fit before any engineering time is committed. It's not a sales pitch.
One week from when work starts. That covers a senior engineer's focused time on the specific feature you share.
Any AI or LLM feature that hasn't reached production or isn't performing the way you expected — a stalled pilot, an unclear roadmap priority, or a feature you're not confident would survive an audit.
The qualifying call happens before any payment or engineering time is committed, specifically so that question doesn't come up after the fact.
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