Three steps. Seven days. Production code.
No briefs, no SOWs, no kickoff calls. Subscribe, drop your task in Slack, and a senior AI engineer ships it as a clean GitHub PR within the week.
The delivery loop.
From plain-English ask to merged PR — the rhythm every subscriber runs each week.
Talk to us in 20 minutes
Book a scoping call. We confirm fit, recommend a tier, and reply with a written scope in 4 business hours — no payment to start.
- Verbal scope on the call
- Written scope in 4 hours
- No payment until green-lit
Senior engineer in your Slack
Once scope is green-lit, we Slack-invite you and assign a senior AI engineer matched to your stack within 24 hours.
- Matched to your stack
- Profile shared on Growth+
- Daily updates begin
We ship via GitHub PR
Senior engineer + Cursor + Claude Code. Code lands in your repo with tests, docs, and a deploy guide in 5–7 days.
- Tests + eval harness
- Deploy guide + runbook
- Unlimited revisions on Growth+
What counts as a task.
If it touches LLMs, embeddings, agents, retrieval, evals, or the cost of running them in production — we ship it.
RAG systems
Production retrieval over your docs, knowledge bases, and product data — with hybrid search and an eval suite.
AI agents
Multi-step autonomous agents that own a workflow end-to-end, from trigger to action.
MCP servers
Production-grade Model Context Protocol servers that expose your product to Claude and other clients.
LLM integrations
OpenAI, Anthropic, Gemini, OSS — shipped to production with cost control and provider abstraction.
Eval pipelines
Unit tests for LLMs. Catch regressions in CI before they reach your users.
Cost optimization
Audit and reduce LLM/inference spend with caching, routing, and model swaps — without quality loss.
What ships with every task.
Process questions.
Drop your first task this week.
Book a free 20-minute scoping call. We'll scope it, estimate the ship date, and tell you which tier fits.