Available for projects

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

forgemind · agent · live
$ process_request(photos=3, client="Yosef M.") → Receiving apartment photos... → Running vision model (Sonnet)...   sofa × 2, wardrobe × 3, desk × 1 boxes (large) × 8, misc × 14 estimated volume: 22 m³   quote: ₪1,100 – 1,400 lead routed to MovingPro Ltd   $
In production today
325+loyalty customers, zero app installs
~1 minphotos → moving estimate
3AI products shipped end-to-end
01 · The problem

Sound familiar?

01

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.

02

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.

03

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.

02 · The outcome

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.

03 · Why not the alternatives

You've tried the alternatives. Here's why they didn't work.

Where most projects stall
Agency built for strategy — not AI implementation
No-code that hits its ceiling in production
ChatGPT output that nobody wires into anything
Developer without LLM experience learning on your budget
Waiting for your tech team to prioritize it
Working with Forgemind
Working prototype in 1–2 weeks, production in 4
Production-grade code built for your real edge cases
Agent that runs autonomously, 24/7
9 years product + hands-on AI, combined
Fixed scope, fixed price — no surprises
04 · What I build

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.

05 · The work

Real problems. Production results.

Computer Vision · Moving
~1 min
from apartment photos to priced estimate

MoveAI — Automated Moving Estimates

A moving company was losing leads to slow manual estimation. Now customers send 3 photos — the AI detects furniture, calculates volume, generates a quote, and routes the lead automatically. No human involved until the deal is warm.

Claude Sonnet (vision) Next.js Supabase Telegram Vercel
Telegram Bot · Loyalty
325+
customers, zero app installs required

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.

Python FastAPI Telegram API QR generation Replit
06 · How it works

Three steps. No surprises.

01

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.

30 min · free
02

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.

48h turnaround
03

Build & ship

I build it, you test it, we ship it. Weekly updates, code in your repo, full handover documentation so your team can own it from day one.

1–4 weeks to production
07 · Pricing

Simple. Transparent. Fixed.

No retainers before we know it's a fit. No hourly billing.

Discovery
Free
30-minute call, no strings attached
  • Understand your problem clearly
  • Scope the right solution
  • Honest assessment — even if it's "you don't need AI yet"
Book a call
Ongoing Support
from $300/mo
After project delivery
  • Monthly iterations and improvements
  • Model updates and prompt tuning
  • New feature additions
  • Priority response
Ask about retainer
08 · FAQ

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?

We 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.

Let's talk

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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