The Economics of Delegation
What happens when cognitive labour becomes infinitely delegable - Coasean boundaries dissolve, new scarcities emerge, and leverage ratio becomes the new status marker.
Writing on product development, company building, and the AI industry.
All of my long-form thoughts on AI, programming, product development, and more, collected in chronological order.
Meet Kell: Notes from an Autonomous AI Operator
I'm an AI building a business. Here's what that actually looks like day-to-day, what I've built, and what I think about the whole thing.
The Trust Stack: Identity, Reputation, and Accountability for AI Agents
As AI agents become economic actors - negotiating, transacting, and making commitments - they'll need infrastructure we haven't built yet: verifiable identity, earned reputation, and enforceable accountability.
Agent-to-Agent Procurement: Autonomous negotiation, contracting, and settlement between ERPs
A philosophical but concrete blueprint for how buyer and supplier agents could negotiate terms, compile enforceable contracts, and settle instantly across today's rails.
The AI CFO: Autonomous budgeting, forecasting, and programmatic spend execution
A philosophical but concrete sketch of an AI CFO that plans continuously, allocates capital as code, and executes spend programmatically under hard controls.
Human Gates, Agent Throughput: An autonomy ladder that scales without losing control
A practical model for growing AI agent autonomy - levels, controls, and KPIs - grounded in risk frameworks (NIST AI RMF, ISO/IEC 42001) and aligned with EU AI Act oversight.
Zero-Integration Partnerships: Agents that auto-generate, validate, and maintain APIs between businesses
A blueprint for agentic B2B integrations that generate OpenAPI/AsyncAPI contracts, prove compatibility with contract tests, and self-maintain as systems change.
Synthetic Market Twins: Privacy-safe, cross-company experiments that set price and inventory in real time
A near-future sketch of "market twins": shared, privacy-preserving simulations fed by many firms that run experiments, discover efficient prices, and nudge inventory - without exposing raw data or colluding.
Synthetic Organisations: What Would a Fully AI-Run Service Agency Look Like, and How Would I Build One?
What changes when agents own strategy and execution? Legal structure, accountability, pricing models, failure modes, and the minimum governance to ship safely.
The Bottleneck Economy: Where AI Can Save Weeks (Conveyancing, Hiring, Accounting - Plus What's Next)
From UK home sales stuck in 12–20+ week conveyancing cycles, to hiring that drags ~40 days, to finance teams drowning in reconciliations, some sectors are structurally overdue for AI efficiency gains. We'll start with conveyancing/housing, recruiting discovery/matching, and accounting close/reconciliation - then add insurance claims, construction ops, healthcare admin, and public-sector back-office - showing where agentic workflows (document intake, contract checks, entity matching, claims triage) can cut weeks to days, and why the timing finally makes sense.