Bring a business problem — get working AI in production.
Not another demo.
You don't need more slide decks about "AI potential." You need an agent that runs, integrates with what you have, and doesn't break in week two.
30 min · no pitch · no obligation
Sound familiar?
ChatGPT writes the code. Nobody connects it to anything.
Great for prototyping and exploring ideas. The integration work — your actual systems, your real data — that's a different job.
The agency runs the project. Eight weeks later, you have a Zapier workflow.
Not their fault — most agencies are built for strategy, design, campaigns. AI implementation is a newer discipline. Different tooling, different skill set.
No-code works beautifully in the demo. Production is a different environment.
Real users find the edge cases the platform wasn't built to handle. Usually on day one, sometimes on day two.
Imagine it just runs.
The thing that used to eat three hours every morning handles itself. Leads come in, get qualified, get routed — without anyone watching. Your team stops being the glue between systems.
Runs in your stack
Integrates with what you already have — your CRM, your chat, your database. No rip-and-replace.
You own the code
No vendor lock-in. No SaaS dependency. The code lives in your repo on day one.
Weeks, not months
Fixed scope, clear deliverables. Working in production in 1–4 weeks, not after a quarterly roadmap.
You've tried the alternatives. Here's why they didn't work.
AI that fits the job, not the other way around.
Every project starts with your problem. Here's what the solutions usually look like.
AI Business Assistant
Handles email triage, calendar, reports, and follow-ups. Your team stops doing work that doesn't need a human.
Customer Chatbot
Answers questions, qualifies leads, routes conversations — trained on your content, connected to your tools.
Computer Vision Pipeline
Extracts structured data from photos, documents, or video. Turns visual input into actionable output, at scale.
Voice Interface
Talk to your systems instead of clicking through them. Voice-to-action for ops, logistics, and field teams.
Workflow Automation
Connect your stack, eliminate manual handoffs, build processes that run without someone watching them.
Lead Qualification Bot
Captures, scores, and routes inbound leads automatically. Stops your team wasting time on cold prospects.
Real problems. Production results.
MoveAI — Automated Moving Estimates
A moving company was losing leads to slow manual estimation. Now customers send photos — the AI detects furniture, calculates volume, generates a quote, and routes the lead automatically. No human involved until the deal is warm.
TER.A COFFEE — Loyalty Without an App
A café wanted loyalty stamps and customer broadcasts without a POS system or native app. Built a Telegram-based "7+1" program: customers collect stamps via QR, staff mark purchases from any phone, owner broadcasts promos to everyone in 30 seconds.
Three steps. No surprises.
Discovery call
30 minutes. You describe the problem — the bottleneck, the manual work, the thing your team does on autopilot. I ask questions that turn a vague ask into a scoped solution.
Scoped proposal
Within 48 hours you get a fixed-price proposal: exactly what gets built, what it costs, when it ships. No surprises after you say yes.
Build & ship
I build it, you test it, I ship it. Weekly updates, code in your repo, full handover documentation so your team can own it from day one.
Simple. Transparent. Fixed.
No retainers before I know it's a fit. No hourly billing.
- Understand your problem clearly
- Scope the right solution
- Honest assessment — even if it's "you don't need AI yet"
- Full AI agent or automation, end-to-end
- Integrates with your existing tools
- 1–4 weeks to production
- Code is yours on delivery
- Handover documentation included
- Monthly iterations and improvements
- Model updates and prompt tuning
- New feature additions
- Priority response
Questions before the call
Do I need to understand AI to work with you?
No. You understand your business problem — I translate it into something that works technically. Most clients couldn't name the models I use. They don't need to.
What if I already have a developer on my team?
I fill the AI-specialist gap. Most developers are great at software — LLM architecture, prompt engineering, and agent design are a different discipline. We can work together.
How long does a typical project take?
Most projects ship in 2–4 weeks. Simple automations can be done in a week. Complex multi-agent systems with integrations take 6–8 weeks. Scope is always fixed up front.
Do I own the code at the end?
Always. The code lives in your repository from day one. No vendor lock-in, no dependencies on my infrastructure. Any developer can maintain it.
What if the AI makes mistakes?
I scope for it. Every agent includes human-in-the-loop checkpoints for high-stakes decisions, fallback flows, and monitoring. Production-grade means handling edge cases.
Can you work with our existing tools?
Usually yes — that's the point. I build integrations with CRMs, messaging platforms, databases, APIs. If you have a tool, there's almost certainly a way to connect it.
Tell me your problem.
If AI can help you solve it, I'll tell you exactly how — and what it'll cost. If it can't, I'll tell you that too.
No pitch · no obligation · fixed scope · you keep the code
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