AI Assistant for Small Business — Custom Agents & Chatbots | Forgemind Labs
Available for projects

AI assistant for small business — custom agents & bots shipped in 1–4 weeks.

Fixed scope. Fixed price. You own the code.

We build AI agents, chatbots, automation and computer vision for SMBs — integrated with your existing tools and delivered to production. No slide decks, no lock-in, no broken demos.

30 min · no pitch · no obligation

forgemind · agent · live
$ process_request(photos=N, client="Yosef M.") → Receiving apartment photos... → Running computer vision model...   ✓ 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
30+AI products delivered to date
Across Logistics Cafés iGaming
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 photos — the AI detects furniture, calculates volume, generates a quote, and routes the lead automatically. No human involved until the deal is warm.

Computer Vision Next.js Supabase Telegram Vercel
Read the case →
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
Read the case →
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, I 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
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?

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.

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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