Our Blogs

Notes from the team building organization memory: essays on AI memory, agents, and how organizations remember.

August 2026

How We Run Revenue on a Company Brain

Every call recorded, every email logged, every deal scored, and you still find out what you promised a customer from the customer. So we put the question to our own product. Five commitments came back, none tracked anywhere, one contradicting an agreed number.

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May 2026

MCP Moves Context. It Doesn’t Create It.

The first time you connect Claude to a real tool and watch it work, it feels like the future has arrived. It can read a file, inspect a database, search a…

May 2026

Contextmaxxing > Tokenmaxxing: Why Better Memory Beats Burning More Tokens

At some point every new primitive becomes a bill. Cloud did it about a decade ago: compute, storage, bandwidth, logs, data warehouses, GPU hours. Teams…

May 2026

From Systems of Record to the Company Brain: Why AI Needs Shared State, Not Just Smarter Tools

Enterprise software has always begun with one promise: tell me what is true. A system of record is the application a company treats as the authoritative…

May 2026

Claude Managed Agents Point to the Next AI Infra Layer: Company Brain

Claude Managed Agents are a useful signal for where the AI stack is going. Anthropic describes Managed Agents as pre-built, configurable agent…

May 2026

What Building a Company Brain over the last Year Taught Me

We did not start by calling it Company Brain. Our first name for what we were building was Enterprise General Intelligence. The thesis was that some…

May 2026

Claude Made Agent Memory Real. But Semantics and Ontology Are Still Missing

Claude’s newest Managed Agents announcement is a useful marker for where enterprise AI is going. Anthropic describes “dreaming” as a scheduled process…

May 2026

Memory Is State, Not a Service

Every AI tool now wants to remember. Meeting recorders remember conversations, search products remember documents, agents remember tasks, and workflow…

May 2026

Company Brain, Part 4: Action Memory

Companies do not only forget what happened or why a decision was made. They forget how work actually gets done, especially when the work crosses people,…

May 2026

Company Brain, Part 3: Interaction Memory

Almost everything important in a company happens in meetings, messages, or emails. Interaction memory is how a company brain captures it.

Apr 2026

Company Brain, Part 2: Factual Memory

In the first piece, I argued that a real Company Brain needs three kinds of memory: factual memory, interaction memory, and action memory. Factual memory…

Apr 2026

Company Brain: Why Most Companies Have Data But No Memory

One of the hardest parts of any organization is institutional friction. Conversations lose context. Meetings create ambiguous follow-ups. People leave…

Apr 2026

Who Signs? The Anthropic Paradox and the $40 Trillion Choice

The augmenting and replacement futures use the same models and the same tools. The thing that separates them is a design choice about where consequence lands.

Apr 2026

The Skeleton of Remembering: Why Your Filesystem Is a Brain Waiting to Happen

A designer sees the Golden Gate Bridge and remembers International Orange. An engineer sees cables. A biologist remembers a whale. Same object, three…

Apr 2026

The Price of Meaning: Why RAG, Knowledge Graphs, and Every Semantic Memory Will Always Fail

Forgetting and false recall are mathematically, provably, inevitable for any memory system that organises information by meaning. Not just embeddings. Not…

Apr 2026

Geometry of Forgetting: Why Brains and LLMs Fail EXACTLY the Same Way

Memory systems for LLMs forget EXACTLY like humans, reproducing the exact numbers from some of the most replicated experiments in clinical psychology.

Apr 2026

Variance is Not Information: The Shaped Cache Experiment

After the right rotation, keys need only 1 bit each: just the sign, positive or negative. Key compression is a solved problem. The entire remaining…

Apr 2026

3% Is All You Need: Breaking TurboQuant's Compression Limit via Spectral Structure

Only 4 out of 128 dimensions in the KV cache carry meaningful signal. The other 124 are noise. This holds across six models in four families.