How I Built a Plug-and-Play AI Agent for Real Businesses

The Problem: Most AI “solutions” aren’t really solutions

If you run a business, you’ve probably heard that AI can:

• Automate customer support

• Handle repetitive emails

• Save your team hours every week

And it can. But here’s the catch:

Most AI demos are just that — demos.
When it’s time to deploy, integrate, and customize… the magic disappears.

Business leaders are left facing:

• Complex integrations

• Unclear pricing

• Hallucinations and inconsistency

• No way to adapt to their real workflows

That’s exactly what I wanted to fix.

My Approach: Build the AI Agent I wish existed

So I built EdgeKit — a modular, self-hosted, real-world GenAI agent.

It’s not a chatbot.
It’s not a vague API wrapper.
It’s a real system that:

✅ Classifies incoming emails or tickets
✅ Retrieves the right info from documents and databases
✅ Composes contextual replies
✅ Adapts to tone, priority, and escalation rules
✅ And lets you plug it into your current tools — or run it standalone

And the best part? It runs on your own infra if needed. No data leaves your business.

🏗️ What Makes It “Plug-and-Play”?

I’ve built EdgeKit to be modular and instantly testable:

• Every module is callable via API: /classify_email, /retrieve_info, /compose_reply...

• You can run it in a Docker container in minutes

• It connects to your existing systems (CRMs, ticketing, calendars)

• And it's designed to be transparent: JSON in, JSON out

Want to switch the LLM from OpenAI to Mistral or Gemini? You can.
Need a fallback for missing data? Already built in.
Don’t want hallucinations? Retrieval is grounded and query-controlled.

Real Example: How It Helped a UK Construction Company

One of my first test clients — a UK property maintenance company — had a common problem:

50+ daily support emails, mixing plumbing, access, electrical faults and complaints.

I customized EdgeKit to:

• Automatically classify each request by category and urgency

• Retrieve past job records, access codes, and invoices

• Draft responses matching their tone and escalation policy

• Let their team review and send in seconds — or automate when confident

They went from manual triage chaos to streamlined AI-assisted workflows — in less than a week.

The Core Insight

GenAI isn’t magic.
But when designed modularly, transparently, and for a real business process,
it becomes a superpower.

That’s what EdgeKit delivers.

🚀 Want to See It in Action?

I’m currently sharing access to a live demo and early license.

➡️ Contact me to request access
or visit edgekit.ai to explore the product.