AI Orchestration

Getting AI to work as a team — from a Q&A assistant to systems that do real work.

🎯 Problem

—One-shot Q&A AI only goes so far — real work needs agents that keep context, run multi-step tasks, and check each other's work.
—Most automation is still hard-coded scripts that can't adapt to changing situations.

1.Start with something real

Built the AI chatbot on this site — an LLM running at the edge that answers questions about me instantly (try the 🤖 button, bottom right).

2.Extend into automation

Automated trading alerts from TradingView to Discord via webhooks — running 24/7 with zero screen-watching.

3.Step up to multi-agent orchestration

Designing systems where multiple agents split work, share memory & state, and verify each other — following a maturity model, one level at a time.

✓A chatbot running live on this site — Llama 3.3 70B at the edge with zero API cost
✓Trading alerts working in Discord every single day
✓A roadmap toward full orchestration within 2026

Cloudflare Workers AI

Llama 3.3 70B

Next.js

Edge Functions

Webhooks

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AgroX