AI Agents

A markdown notes file plus a vector index works for lookups, but fails on real business tasks that span entities, time, systems and decisions. Why retrieval is an attention problem, and when a context graph is worth it.

Websites, search boxes and checkout pages are the part of the internet we see, and personal agents are about to remove them. What that means for consumers, SMBs and the still-open enterprise question.

Knowledge-representation researchers split knowledge into a rulebook and a diary forty years ago. Keeping the T-box and the A-box apart is what turns an agent with a long context window into one with a real memory.

The processes that produce revenue are reasoning habits, not workflows. Borrowing Wolfram's computational reducibility to find the pockets inside them — and to let the record assemble itself.

A business world model, the org chart as a routing protocol, the end of manual CRM entry, and the end of hardcoding. Read together, they describe one architecture — and one uncomfortable org change.

Every era of architecture reduced how much of the world we decide in advance. The next step is a tiny constitution humans control — and everything else negotiated by agents.

The agent isn't the model, the memory, or the tools. It's the rules and context — everything else is replaceable infrastructure.

For decades we built corporate software focused on one thing: keeping a record. The next era is about reasoning over context.

We're approaching a point where AI agents become functionally indistinguishable in quality and capacity. What then?

Your beautiful hero video means nothing to an AI agent. The era of bot engine optimization is here.

Falling markets for legacy SaaS and the daily advance of agents and models — an attempt to structure what's happening.

A thought experiment about the future of B2B sales when your SaaS platform becomes an active coach.

Imagine a sentry, ever-watchful — what it takes to give a SaaS platform genuine memory and reasoning.

For two decades the paradigm was clear. We're now standing on the precipice of a fundamental shift in how we build and consume software.

A question that touches the evolving architecture of AI systems. The short answer: yes and no.

For two decades the holy grail in B2B SaaS was to become the System of Record. That moat is crumbling.

We're stepping over the threshold into a new internet era — and it will get messier before it improves.

If 2024 was the year of the chatbot and 2025 the prototype, 2026 has ushered in agentic industrialization.

In commerce and retail, agents have hit a wall of fragmentation. The Universal Commerce Protocol aims to fix it.

Digital content creation is at an inflection point, moving from human-in-the-loop to machine-to-machine.

Agentic AI is a fundamental challenge to the cloud-native, stateless paradigm that has dominated the last decade.