Platform | GRAIsol

The platform

AgentGRAI is how I ship the work.

The orchestration layer for multi-step business workflows. Not a wrapper. Not a chatbot. The actual AI engine — built on Claude Agent SDK — that makes decisions, calls tools, handles errors, and ships results autonomously.

What it does

End-to-end outbound, run by agents.

Claude Agent SDK is the actual runtime — not a chatbot bolt-on. AgentGRAI receives tasks, gathers context via MCP tools, reasons through options, executes, and reports back without human babysitting.

Lead generation, enrichment pipelines, outbound campaigns, founder ops — every workflow runs on the same orchestration engine. Same decision loop, same audit trail, same row-level isolation between client workspaces.

I built it because I needed it. The platform that runs my agency runs every client engagement too — same code path, same uptime guarantees, real traffic shaping it every day.

Why it works

Built different on purpose.

01

AI-Native from the Ground Up

Claude Agent SDK isn't a feature — it's the runtime. Every decision, every workflow step flows through the same orchestration engine. No duct tape.

02

Multi-Tenant with Row-Level Security

Every client workspace is fully isolated via Supabase RLS. No data bleeds between accounts — ever. Built for agencies serving multiple clients.

03

50+ MCP-Native Integrations

ClickUp, ElevenLabs, Twilio, Calendly, GitHub, Stripe — first-class MCP tools, not unofficial hacks held together with brittle SDKs.

04

Production-Deployed, Real Traffic

Running on Railway with real clients and real results. This isn't a sandbox — it's the infrastructure GRAIsol ships every single workflow on.

The stack

Boring tech, sharp choices.

Runtime

Claude Agent SDK · TypeScript · Node

Data

Supabase · Postgres · Row-Level Security

Tools

50+ MCP servers · ClickUp, Twilio, ElevenLabs, Calendly, GitHub, Stripe

Hosting

Railway · production traffic from day one

Have something gnarly to ship?

I take on a small number of founder projects each month. If you're past “we need AI somewhere” and ready to put something in production, let's talk.