The last era was built on surveillance.
This one is built on attestation.
Surveillance infrastructure was optimized for extraction — your prompts trained their models, your patterns fed their graphs, your attention paid their bills. Attestation infrastructure is optimized for you: your context compiles to your disk, your knowledge graph travels with you across every AI, and the outputs that matter get signed by a physician or domain expert who puts their name on what's true. The AI drafts. A human attests. You carry the proof.
Every project is a channel.
chanio holds the state.
You don't manage chanio. chanio manages the tree. When context erodes in a focused session, you reference back in — and the graph already knows which channel you're in, what's open, and what was left unresolved.
This is a live representation of what chanio holds. Your channels. Your state. Compiled nightly to your disk — not a server.
A narrow capture — on purpose.
chanio only learns from what you choose to type into an AI. Nothing else. That's the honest line — and the reason the graph stays clean enough to trust.
- •Prompts you send to Claude, ChatGPT, Gemini, Perplexity
- •The follow-ups and corrections that refine your thinking
- •The attachments you paste in — only with your consent
- —Your general browsing history or cookies
- —Your email, DMs, or social feeds
- —Anything you haven't explicitly sent to an AI
Scattered sessions become
a queryable map of your thinking.
Every AI session you’ve ever had was useful in the moment. None of them talked to each other. chanio is the layer that connects them — turning isolated prompts into a graph that compounds over time.
Every session is a node. The March 4 pricing question links to the March 11 AKS question — chanio draws the edge.
The April 2 wage research links backward to the pricing model. The graph sees the relationship; you just kept asking questions.
By April 15, the graph has a map of your healthcare platform thinking: what you've resolved, what's still open, what you haven't touched yet.
You open a new Claude session. The MCP connector loads your graph. The AI already knows you've been working on this for six weeks.
A few prompts. Nothing connected yet.
Clusters form. The graph starts showing you what you keep returning to.
Gaps visible. The graph knows what you haven't asked yet — and can tell you.
The graph is a working model of your mind. Every new AI session starts informed.
Unlike a chat log — which is linear and flat — a knowledge graph stores relationships between ideas. The value isn’t in the individual prompts. It’s in the edges between them.
Four layers of identity, from one stream.
Your AI chats are richer than any form or profile. chanio reads that stream four ways, so the graph actually knows you.
Domain
What you ask about — health, finance, music, code, relationships, the businesses you're building.
Workflow
How you think through a problem — the questions you ask first, the frames you default to, the phrasings that come back.
Behavioral
What pulls you back — topics you keep returning to, decisions you revisit, the stuff that won't leave you alone.
Artifact
What you build from it — documents, code, plans, letters, decisions. The output of the conversation, not just the conversation.
chanio doesn't just remember.
It finds your holes and your frontiers.
A graph of your prompts is also a map of what you've already thought about — and by extension, what you haven't. chanio reads that map two ways.
What's missing from your thinking
Where your thinking is growing
Every surface is a suggestion — never a push. You decide what to open next.
How it works
Capture
A browser extension sits quietly on top of Claude, ChatGPT, Gemini, and Perplexity. If you use Claude Code, chanio-core captures every session automatically at the terminal level. Either way, your prompts stay local — encrypted, never sent anywhere you haven't approved.
Graph
Your prompts are linked into a knowledge graph across the four layers — domain, workflow, behavioral, artifact. You see it grow in real time in your chanio dashboard.
Carry
An MCP connector exposes your graph to any AI that speaks the protocol. You walk into a new conversation and the AI already knows who you are — because you brought the context, not the platform.
Attest
When it matters — health questions, legal questions, financial questions — chanio can route the output to a signed expert. The AI drafts. A licensed human puts their name on what's true.
Why now
The infrastructure of the last era was optimized for extraction. The infrastructure of this one is optimized for attestation — and the person being attested to is you.
Compute stays rented. Storage comes home.
Compiled nightly, on your disk
Every session compiles to your local drive overnight. Not a cloud backup — a local knowledge graph that exists even when the internet doesn't. Offline-capable by design.
Owned, not rented
Your graph lives in your account and on your hardware. Export it whenever you want. Delete it whenever you want. Nobody sells it because nobody owns it but you.
Portable across every AI
MCP is the open protocol for carrying context between models. chanio speaks it natively — so the graph travels with you, not with any one platform.
Signed where it counts
For the decisions that matter, chanio can hand the output to a physician or domain expert to attest. AI drafts. Humans sign. You carry the proof.
This isn't a mockup.
It runs tonight.
The architecture on this page is the founder's daily driver, not a roadmap. chanio captures every session and compiles it overnight — a morning brief plus one living state note per venture — before 5 AM. What comes out of that job looks like this:
Compiled by chanio while the founder slept. The graph caught its own author about to quote stale pricing — and corrected him. That's the whole point: the memory you own is the memory that keeps you honest.
chanio is the context layer.
These are the rooms it powers.
Your working identity doesn't live in one product. chanio makes it portable — every app in the network reads the same graph.
Sage reads chanio context before every care conversation. Families never re-explain who they are or what they've built.
Encounter notes log to chanio. Nine practice agents share the same identity graph — no duplicate context entry.
Every clinical AI query runs against chanio's attested physician graph. AI acts on who you actually are, not a blank session.
Patient questions captured in chanio close the education loop. The next AI interaction already knows what was asked.
One graph. Every surface. Part of the blainomd.com network →
Stop renting your identity.
Start owning your context.
Join the waitlist for the private beta. You'll get early access, a say in the roadmap, and locked-in founding pricing when we open the doors.