An AI that remembers who matters to you, tracks what you've committed to, and earns the right to act on your behalf, across every tool you already use.
For solo operators and prosumers running 3+ AI tools who keep re-explaining themselves every session.
Building an agent that acts in users' lives? There's a builders door →
Most people use AI the same way they use a search engine. They open it, ask something, get an answer, and close it. Today's models have started saving preferences and snippets, but that's a notepad, not a memory. There's still no real model of who's in your life, what you've committed to, or how you talk to your boss versus your kid.
A smaller group has gone further, connecting their calendar, their email, their tools. Written prompts. Scheduled them to run automatically. They're getting more out of AI than almost anyone.
But the cognitive work behind it, deciding what to automate, figuring out the right prompt, testing whether it works, maintaining it as things change, that's all still on you. And most people never get there at all.
The promise of AI was always that it would handle the repetitive, high-effort parts of work, so you could focus on the parts only you can do. That promise isn't fully here yet. Not because the AI isn't capable, but because it has no memory of you, no sense of who matters in your life, and no way to earn your trust over time.
Cortex is built to close that gap. Whether you're starting from scratch or you've already built sophisticated workflows, Cortex learns how you work, who matters to you, and what you want handled. It doesn't require you to be a power user to get power-user results.
Language is just one part of a mind. A mind also remembers, learns from experience, understands relationships, makes judgments, and knows when to act versus when to wait. Most of those layers don't exist in commodity AI yet.
Built and operated by the founder. 90 days in production, n=1.
Other tools give AI a memory. Cortex is an attempt to give it a mind, one that doesn't just store what you tell it, but learns from experience, understands context, earns trust through its track record, and gets meaningfully better the longer it knows you.
Your brief is different today. Not because you rewrote the prompt, but because three things happened overnight that changed what matters. A key contact texted you last night, emailed this morning, and is on your calendar this afternoon. Cortex knows it's the same person. It knows the text was personal, the email is time-sensitive, and the meeting is high-stakes. It surfaces all three as one thread, ranked above everything else, without you asking.
Between meetings, a single item surfaces: “You haven't responded to Marcus in four days. He's waiting on something you committed to last Tuesday.” You didn't set a reminder. You didn't write a rule. Cortex tracked the commitment from a message thread, noticed no reply came, and surfaced it at a moment when you're actually free to act, not mid-call, not at midnight. One tap drafts a reply in the tone you use with Marcus specifically, direct, brief, no filler. You approve it. It sends.
A routine scheduling request comes in from someone you coordinate with regularly. The system has handled this exact type of request fourteen times without a correction. It just handled it. A request from someone more senior waits; the draft is ready, the context loaded, but it doesn't move until you approve. At end of day, you glance at the summary. One thing got slightly wrong. You correct it in one tap. The system updates the underlying rule, not just this instance. Tomorrow it won't make the same mistake. Not because you rewrote a prompt. Because it learned.
Three failure patterns from the past 18 months, identified by pattern rather than name, because the patterns are what matter.
One agent platform shipped a CVE allowing 1-click remote code execution on every connected account. CVSS 8.8.
An autonomous outreach agent sent 1,400 cold emails for zero replies; every recipient identified it as AI on first read.
A subscription-based agent charged users $550 in overage fees they had no way to opt out of, with no path to cancel.
Cortex won't act until it's earned the right to, per person, per recipient, per action class. The agent-governance category that's now emerging scores the agent; Cortex scores the relationship. Trust is graduated, reversible, and logged. The longer Cortex runs, the higher the switching cost.
The moatDirectional, not benchmarked. Published transparently because we know what we're trying to prove, and want to be honest when we miss it.
The same backend powers Cortex's own ambient surfaces and an MCP server callable by any LLM client. You don't have to choose.
MCP standardized this year. Any LLM client can call cognitive infrastructure through one protocol. Regulators are tightening on autonomous AI decisions; provenance, audit trails, and contest paths move from optional to required. The cognitive substrate category gets defined in the next 18 months by whoever has real time-under-load data; we have 90 days of it, and the corpus only emerges by running.
We built Cortex because we were building a consumer assistant ourselves. Memory of people across messy life data, behavioral rules with lifecycle, per-pair earned trust, full action ledger with provenance; that's the scaffolding every product like ours has to ship before it can ship the actual product.
approve / human-required / reject (engine), per primitive.