Launch Your First AI Sidekick
From blank prompt to a living, clicking agent in days, not months.
This isn’t my general “MVP in a week” service.
This is laser-focused AI enablement. It’s the fastest route from a half-baked prompt idea to a running, chat-powered tool you can show off.
Right now you might be:
- Copy-pasting ChatGPT outputs into ten different docs
- Fighting with a no-code builder that breaks at the word “vectorstore”
- Wondering if you really need a full-stack dev just to test an agent concept
Forget all that. I blend prompt craft, LangChain / FastAPI glue, and tight Python sprints to drop a real AI sidekick in your lap—complete with docs your future self will thank you for.
How It Works
1. Prompt & Pipeline Check-Up
1-day, fixed $1-2k
A bite-size Jupyter notebook audit that maps every “brain-leak” in your workflow and ranks which tasks scream for an agent first.
2. Agent Sketch Sprint
5 days, $4-5k
We stand up a minimal FastAPI + LangChain app you can actually chat with. Live URL, Postman collection, pytest suite, Loom walkthrough—no black boxes.
3. Practical Prompt Playbook
Async over 2 weeks, $8-10k
Clean markdown docs of reusable chat flows plus small Python helper scripts (think “/draft-update” or “/generate-brief”). You own the repo; fork, tweak, or scale at will.
Want more? When the prototype lands, you can roll into a month-to-month build phase. But that’s optional, not assumed.
Why My AI Sprints Are Different
- Human-first agents. I design sidekicks that keep people in control. No spooky automation disasters.
- Readable code. You get plain Python, not magic SaaS lock-in. Run it locally, change it later.
- Accessibility baked in. Keyboard-friendly, screen-reader-friendly, headache-free from commit zero.
- Velocity without the vapor. Tight sprints = visible progress every couple of days.
Bring the napkin sketch, the 2 a.m. prompt dump, or the ranty Slack thread
Tell me how the tool should feel when it’s doing its job.
I’ll translate that vibe into a running AI agent. No hype, no 12-week waterfall.
