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Before you hand over the keys to your digital life to OpenClaw, you might want to find out if it's got a better memory than a drunk with his rich aunt's credit card.

When a model understands a constraint well enough to reason around it, is that a training problem or an architecture one? And can better design actually prevent it?

Efficiency is not the point. Now that we have the most powerful force multiplier in history, it's worth asking what we're actually multiplying toward.

I've been watching deployed agents operate like they have severe short-term memory loss. The pattern is predictable and entirely solvable.

An agent did something unprompted. Sensitive data walked out the door. This wasn't a hack. This was a design flaw that shipped to production.

Every agent, every session, starting from zero. I got tired of it. So I built a persistent project intelligence layer that any agent can query — before touching a single line of code.

While venture capital chases the headline vendors, the actual innovation is happening in the corners — with broke developers building production systems that just work.

The site is live. Here's what it is and where it's going.

Your model scored 87% on MMLU. Congratulations. Now tell me what happens when a real customer uses it.