Position · Portfolio · Methodology
AI doesn't make work faster. It relocates where the hard part is.
Applications deployed across property, trading, legal, and AI integration. MCP servers. Process improvement & automation.
Paul Boucherat · BA (Hons) Business & Operations Management, Nottingham Trent University · Nottingham, UK
What I do
I build the tools. I teach the method.
APIs, MCP servers, AI agents, web applications. End-to-end, from problem to deployed product. Python, TypeScript, FastAPI, React. Hosted on Fly.io, live in production.
Where should AI sit in your workflow? What's worth automating and what isn't? I help organisations find their actual bottleneck before building anything.
Get your tools connected and working together. Then find the AI working style that fits how you actually think. Hands-on, not just a youtube video.
Who this is for
The implication
The bottleneck moved. Most people haven't noticed.
AI commoditised execution. The code, the drafts, the data processing: that's the $30/hour work now. The constraint has migrated to orchestration, governance, and judgment. Knowing what to build, how to verify it, when to trust it.
That's not a technology problem. It's an operations problem. Operations management already has the theory for it. Goldratt's Theory of Constraints was built for exactly this. I've applied it to AI-era work in a paper that proposes five new constraints and maps them directly to the TOC diagnostic model.
Every project in this portfolio tested the framework. Each one shaped what came next.
The question is no longer "can AI do this?" It's "where is the bottleneck now?"
Read the full paper →The Framework
5 Constraints of AI-Enabled Work
When execution gets cheap, these become the real bottlenecks.
- C1ContextDoes the AI have enough information to actually help you?
- C2ControlHave you defined what it's allowed to do unsupervised?
- C3ConfidenceCan you trust the output enough to act on it?
- C4CoordinationCan you orchestrate AI, tools, and people without friction eating the gains?
- C5CapacityCan your brain keep up with everything AI now produces?
Based on Goldratt's Theory of Constraints · Studied under Prof. Roy Stratton · Nottingham Trent University
The proof
An employment law case required forensic analysis of 1,300+ evidence items: documents, emails, 850+ images. Built a system that processed them into 9 reports with 644 cross-evidence correlations. SHA256-verified chain of custody. Deployed in a live case. Six generations of architecture evolution.
Full-stack algorithmic trading platform. 3 strategy engines, 7 autonomous AI agents, 37 tools, and a custom terminal. Walk-forward tested. Monte Carlo stress-tested across 10,000 simulations.
AI-powered Pine Script v6 code generation. The tool didn't exist, so I built it as a product. 50+ component React 19 frontend, FastAPI backend, Stripe billing, Supabase auth. Live on Fly.io.
Training
Find your own AI working style.
I don't prescribe a method. Everyone's constraints are different, and the right tools depend on how you think. The course starts with your bottlenecks and builds from there.
“The gap between imagination and execution has closed. I have the receipts.”
“He took someone who had never written a line of code and had them building independently within a month.”
5 modules. Two tracks (no-code or builder). You leave with tools you built on your own work, not theory exercises.
See the full course & join the waitlistLive data · PyPI + Fly.io · Full dashboard →
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