Capture with AI. Deliver through any AI.
A New Way to Capture
Institutional Knowledge
Your best people never write documentation — so KnowCore stops asking them to. Conex watches them work, AI interviews draw out their reasoning, and everything they know flows back out through whatever AI your team already uses — Claude, ChatGPT, Cursor, or your own.
Captured once, without writing a word. Answered everywhere.
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How it works
From work session to running skill
Capture. Compile. Deploy. Nobody writes a document.
01/Capture
Do the job once. Conex writes it down.
Nobody stops to document anything. Conex watches a real work session and writes the steps. AI interviews draw out the reasoning behind them — the judgment calls that never make it into a wiki. Documents and pasted threads come along too.
KnowCore ConexWorkflow captured — adding to knowledge base
02/Compile
It compiles into knowledge and procedures
Raw capture becomes a Knowledge Core: cross-referenced wiki pages, every claim traceable to its source, with what your experts confirmed ranked above what was auto-captured. Then KnowCore writes the procedure — a real skill file, with the stages, the checks, and when to escalate.
Enterprise contracts go through a 3-step process: draft in the template, fill client fields, then route to legal...
03/Deploy
Your agents run it the way your best person would
Skills install into Claude, Claude Code, Cursor, or anything that speaks MCP — one connection, no per-tool setup. The agent follows the procedure and asks the Knowledge Core for facts as it goes, because procedures hold steady and facts change.
Who handles new client onboarding?
Per Alex's onboarding guide: reach out to @sarah first, then schedule a 30-min kickoff. Full checklist in the knowledge base.
Knowledge Goes In. Skills Come Out.
Most tools stop at a citation. KnowCore turns what your experts know into procedures your agents can actually execute.
4 ways in — none of them ask anyone to write
KnowCore Conex
Show it once. Conex watches a real work session — the clicks, the order, the tool switches — and writes the skill file. Nobody narrates, nobody writes anything down.
AI Interviews
A screen recording shows what they did. An interview gets why. KnowCore asks about the edge cases, the judgment calls, and the things people get wrong — in a conversation, with zero prep.
Documents & Files
PDFs, recordings, decks, transcripts — drop them in. They land in the same cores as everything else, ranked below what an expert actually confirmed.
Paste & Text
A Slack thread, an email chain, a note scribbled after a call. Connectors pull from Slack continuously. If it's text, it's in.
All of it compiles into cited Knowledge Cores and executable skills
Built for agents, not for another tab
Skills your agents execute
Every core compiles into installable skills — the procedure, its stages, the human checks, and the escalation rules. Agents run the process instead of improvising one.
Claude Code pulls the refund skill, follows the stages, and stops at the approval check exactly where your policy says a human signs off.
One MCP connection, any agent
KnowCore is a remote MCP server. Claude, Claude Code, Cursor, ChatGPT — connect once with OAuth or a key and they all get the same ten tools, governed by the same permissions.
No per-tool setup and no vendor lock. When your team switches models next year, the knowledge layer does not move.
The flywheel
Your AI tells you what
your company doesn’t know
Every other knowledge tool degrades quietly — it answers worse and worse and never tells you why. KnowCore treats a bad answer as a signal, not a dead end.
- 01
An agent asks something you can’t answer
Every question — from KnowCore chat, the API, or any connected agent — is scored against what you actually know. Weak retrieval is recorded as a miss instead of being papered over with a confident-sounding guess.
- 02
Misses cluster into a real gap
“Who do I page for a P1 out of hours” and “what’s our overnight escalation path” are the same hole. KnowCore groups them by meaning, names the gap, and counts how often it gets hit.
- 03
The gap becomes an interview
One click drafts an interview from the questions people actually asked and routes it to whoever owns that core. Not a generic questionnaire — the specific things your organization tried to look up and couldn’t.
- 04
It closes itself
The expert answers, the knowledge lands in the core, and the gap closes on its own. The next agent that asks gets a cited answer. Nobody filed a ticket.
Knowledge Gaps
Ranked by demandP1 overnight on-call escalation
Reliability Engineeringasked 3 times · last about an hour ago
“what is our escalation path when a P1 happens overnight”
“who do I page for a priority one incident out of hours”
“what is the on-call escalation procedure for major incidents”
Grouped, counted, never attributed. You see what the organization doesn’t know — not who admitted they didn’t know it. That distinction is why people keep asking honest questions.
What an enterprise buyer asks about first
Every answer cited
Each response traces back to the interview, recording, or document it came from. Nothing is asserted without a source you can open.
Confirmed beats scraped
What an expert actually verified outranks what was auto-captured from a Slack thread. The tiers are visible, not buried in a relevance score.
Permissions per core
View, write, and manage are granted per Knowledge Core, with per-user denies and manager delegation. Agents inherit exactly what their credential allows.
No vendor lock
An open MCP server, not a plugin for one assistant. Your knowledge layer outlives whichever model your company standardizes on next.
Capture Your First Expert
Pick the person everyone interrupts. Record one session, run one interview, and see their process come back as a skill your agents can run. That is the whole pitch — and it takes an afternoon, not a procurement cycle.
Start a Pilot
We take on a small number of design partners at a time. Tell us the team and the process, and we'll scope a pilot.