EXOCORTEX

Your Mind,
Amplified

Your AI workforce runs autonomously. You stay in control.

This is what it looks like when your second brain is always on.

A Day With Exocortex

7:15am

You're making coffee. A thought: "We should add circuit breakers to the dispatch flow." You say it out loud. By the time you sit down, the system has created an enriched task, pulled module memory about the last timeout cascade, and dispatched it to a developer agent.

8:30am

Over breakfast, you open your Locus. Three tasks completed overnight. One needs your review — a PR for the auth refactor. You skim the diff, approve it, redirect a research task to a different angle. Forty seconds. Back to coffee.

9:30am

A message appears: "Your anniversary is Saturday. Sette at New Farm has availability at 8pm — strong gluten-free menu, 4.7★, different from last year's spot. Book it?" You reply yes. You hadn't thought about it yet.

2:00pm

A startup pitch arrives via email. You forward it. By 4pm you have a structured assessment: team background, market size, competitors, red flags, and a draft response.

5:00pm

"Your car rego expires in 14 days. Renewal form is pre-filled, payment link ready. Approve?" You didn't ask it to check.

Evening at the pub

"That climate fintech pitch was interesting — do a deep dive." You go back to your beer.

Overnight

While you sleep, team vetted, market sized, three comparable exits mapped, risk memo drafted. A portfolio company's competitor just raised — flagged with implications. You wake up to a briefing, not a blank slate.

Half of this you asked for. The other half, it handled before you thought to ask.

How It Works

You think it. It shapes it. Agents execute it. The system learns.

Capture
Voice, text, any channel. A thought is all it takes.
Enrich
Your vague thought becomes a fully-specified brief — scoped against domain memory, decomposed into steps, ambiguity flagged. This is the magic.
Execute
Agents work from the enriched spec — not your raw thought. You approve what matters.
Learn
Every approval, rejection, and redirect compounds as institutional knowledge.

Your Locus of Control

The more agents you run, the harder it is to stay across everything. Chat is linear. Your agent system is parallel. You need a cockpit, not a chatbox.

Locus
"What needs me right now?"
Your daily driver. Morning briefing, review queue, agent questions — everything that's blocked on you, in one place. Handle what's hot, close it, move on.
📋
Board
"Where is everything?"
The spatial overview. Every task across every lifecycle stage. Glance at 30 tasks and know in 3 seconds whether things are on track or stuck.
🤖
Agents
"What are my agents doing?"
System health at a glance. Which agents are active, what they're working on, error rates, cost. Like air traffic control for your AI workforce.
📜
Timeline
"What happened?"
The audit trail. Every decision, every deliverable, every state change. If you can't see what agents did while you slept, you won't trust them to work while you sleep.
Your agents handle the work. Your Locus keeps you in command.

See It In Action

Watch a vague thought transform into a fully-scoped task

This is a simulation of real Exocortex enrichment output

Enriching
Enrichment preview 87% (High)
    🧠 Module Memory Used

    Modules

    Each part of your life gets its own module — its own memory, its own agents, its own safety boundaries. Drop a thought into any module, and it picks up the full context: what's been tried before, what you prefer, what to watch out for. Then it takes it to completion.

    💼
    Investor Relations
    Remembers your thesis, past deals, LP preferences. Knows to draft, not send.
    "That pitch from Tuesday — run it against our thesis and prior passes."
    👨‍👩‍👧‍👦
    Family
    Knows the kids' school calendar, dietary requirements, who picks up on Thursdays.
    "Soccer tournament Saturday — kit list, directions, snack roster."
    💻
    Product
    Tracks architecture decisions, open PRs, deploy history. Agents commit code, you review.
    "The timeout bug from last sprint — same root cause?"
    📣
    Growth & Marketing
    Knows your channels, what's been posted, what converted. Remembers your voice and tone.
    "That thread did well — turn it into a newsletter draft."
    🏃
    Health & Longevity
    Knows your bloodwork history, training load, supplement protocol. Tracks what changed and when.
    "New labs are in — anything different from last quarter?"
    +
    Yours
    Property. Legal. Hiring. Whatever you need a second brain for.

    From Goal to Done

    Goals aren't checklists. Set an outcome, and the system decomposes, executes, and re-evaluates after each step. If it hasn't hit the target, it adapts and spawns what's needed next.

    🎯
    Evaluate Series A — climate fintech startup
    active Success Criteria
    Founding team & cap table fully vetted
    TAM/SAM validated with 3+ data sources
    Investment memo drafted with go/no-go recommendation
    P0 done
    Deep-dive founding team & prior exits
    due-diligence research
    P0 in progress
    Size TAM/SAM and map competitive landscape
    market-analysis fintech
    P1 waiting
    Draft investment memo with risk matrix
    memo decision

    The Shape Is the Product

    LLMs are powerful, but they need structure. Exocortex defines a shape — for tasks, goals, memory, and safety — that turns a vague thought into a fully-specified brief. Each agent in the chain works from the enriched spec, not your raw input. That's what makes autonomous completion possible — every step has enough context to finish without coming back to ask you what you meant.

    # raw input (what you said) "check out that climate fintech pitch" # enriched output (what the agent receives) title: Conduct Series A due diligence — climate fintech module: investor-relations priority: p1 description: Full preliminary DD on climate fintech. Vet founding team, validate TAM, map competitors, model unit economics, draft investment memo. definition_of_done: Team backgrounds researched (LinkedIn, prior exits) TAM/SAM with 3+ independent sources 5+ competitors mapped Risk matrix: regulatory, technical, timing Investment memo with go/no-go memory_context: "Shiny Things thesis: greentech, fintech, agtech" "Last climate deal passed — team strong, TAM too niche" "Always verify cap table before term sheet" # the agent never sees "check out that pitch" # it works from this. that's the shape.
    story: As a founder I want to say “prep board deck for Thursday” and get a draft pulled from my last 3 investor updates Parse intent and deadline Retrieve module memory (investor-relations) Pull last 3 updates from email/drive Generate draft with KPI deltas Queue for review story: As a parent I want school emails auto-triaged so I never miss a permission slip deadline Email watcher configured School domain allow-list Extract deadline + action items Create calendar event + reminder story: As an investor I want “summarise this pitch deck and flag risks” to work from a URL drop URL detection + PDF extraction Structured analysis with risk flags Comparison to portfolio thesis
    ACCEPTANCE GIVEN a new goal with ambiguous scope WHEN enrichment runs THEN it produces ≥2 clarifying sub-tasks AND links relevant module memory RETRY GIVEN tool execution fails WHEN retry_policy=auto THEN retry with exponential backoff up to 3x THEN escalate to user NOTIFY GIVEN a goal marked “urgent” WHEN the user is in DND THEN queue notification priority:timeSensitive AND defer non-critical follow-ups COMPACTION GIVEN module memory >10MB WHEN compaction triggers THEN preserve top-k by recency×relevance AND archive the rest PERF EXPECT enrichment latency p95 < 800ms for single-module goals ISOLATION EXPECT zero data leakage between modules module A memory MUST NOT appear in module B context

    Why We're Building This

    In Accelerando, Charles Stross imagined an exocortex — an external cognitive layer that handles everything while you think. Patent filings, deal negotiations, restaurant bookings, travel logistics. The character who loses his exocortex is effectively lobotomised.

    OpenClaw proved that existing tools — LLMs, search, email, calendars, code, browsers — given the right framework, become more than the sum of their parts. But it solved execution, not intention. The gap between having a thought and seeing it done was still on you. Exocortex closes that gap. Task enrichment takes a vague spark — "I just met a founder working on carbon capture — find everything, model the market, and draft a term sheet by morning" — scopes it against module memory, decomposes it into executable steps, and routes it through capable agents. Thought to outcome in seconds, not hours.

    But there's a second problem nobody's solved yet: as agents get more capable and more numerous, how does a human stay in control? Ten agents running in parallel, spawning tasks, making decisions — you can't oversee that in a chat window. You need a cockpit. That's why Exocortex isn't just an execution layer — it's a control surface. Your Locus shows you what needs attention, what's on track, and what happened while you were away. Agents handle the work. You stay in command.

    That's what Exocortex is. Not a chat interface. Not an AI wrapper. An autonomous cognitive layer that monitors your world, anticipates what's needed, acts on your behalf, and learns from every interaction — with a cockpit that keeps you in the driver's seat. You direct the big decisions. Everything else, it handles.

    One more thing.

    What if you could wear your second brain?

    Hardware integration in progress 2026.

    🕶

    Cohort 1 is invite-only.

    Exocortex is for operators who value leverage over tinkering.
    If that's you — what's the first thought you'd offload?

    Built by Shiny Things Investments · Powered by OpenClaw (open source, backed by OpenAI) · Brisbane, Australia