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How Core works

Core turns every workflow into proprietary knowledge your AI can use.

Core connects to your AI and work tools to capture not only what your company knows, but how it gets work done. It links information, decisions, actions, corrections, and outcomes into a living knowledge system, then uses that combined knowledge to prepare and coordinate every new task.

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AI and work tools
  • ChatGPT
  • Claude
  • Gmail
  • Drive
  • Slack
  • Notion
The Core engine
  1. Incoming activity
  2. Context and workpath extraction
  3. Living company knowledge
  4. Task preparation and coordination
  5. AI execution
Completed, reviewed work
Weekly launch updateApproved

One correction applied. Output accepted.

Information enters once and becomes more useful every time it is used.

Core captures information and workflow activity from the tools where work already happens, turns both into connected company knowledge, prepares each AI task with what it needs, and learns from the approved work that comes back.

  1. 01
    Connect

    Connect the AI and work tools where company activity already happens.

  2. 02
    Capture

    Capture source information, AI interactions, tool activity, human corrections, decisions, and outcomes.

  3. 03
    Understand

    Extract context and working knowledge, then connect them to the correct people, projects, sources, decisions, and workflows.

  4. 04
    Prepare

    Assemble the proprietary knowledge, prior workpaths, permissions, and current state relevant to the next task.

  5. 05
    Work

    Make that prepared knowledge available inside the AI surface chosen for the task.

  6. 06
    Learn

    Return the workpath, corrections, approved decisions, and final output to the company knowledge system.

  7. 07
    Compound

    Use the updated knowledge and proven workpaths to start the next task further ahead and better prepared.

Core turns scattered activity into connected knowledge.

Files and messages describe what happened. Core also captures the people involved, the decisions made, the actions taken, the corrections applied, and the outcomes that followed.

  • Person · Meridian contact
  • Decision · revised launch date
  • Preference · shorter report
  • Source · attached brief
  • Action required · confirm date
Product Launch projectPending approval

Proposed update: launch date moves to the 24th; weekly report format shortens.

Needs approval

The source email stays attached, and the update remains pending until someone approves it. Not every extracted statement becomes accepted truth automatically.

Core maintains how everything relates.

A useful company record is more than a collection of files. Core connects people, projects, sources, decisions, preferences, actions, and outcomes so AI can understand the state of the work around each task. This maintained set of relationships is what we call the living knowledge graph: it connects what the company knows, where it came from, who it affects, and what changed because of it.

Selecting the revised launch-date decision reveals the source email it came from, the people it involves, the reasoning recorded, the action it changed, and the later output that used it.

Core learns from the path behind the result.

The final document shows what was produced. The workpath preserves how it was produced: which sources mattered, what changed, which judgment was applied, and what the company ultimately approved.

The workpath
  1. Retrieve prior approved update
  2. Gather project activity
  3. Identify revised launch date
  4. Draft update
  5. Remove an unconfirmed claim
  6. Shorten the executive summary
  7. Final update approved
  8. Client acknowledges the new date
Weekly update.pdf

Final weekly client update, ready to send.

Workpath saved to Core

Knowledge graphs preserve what the company knows, and workpaths preserve how the company works.

Every task starts with the proprietary knowledge it actually needs.

When a new task arrives, Core combines the relevant graph context, prior workpaths, current project state, user preferences, permissions, and expected output into a prepared context for the chosen AI surface.

Included
  • Last week's approved update
  • Current project activity
  • Revised launch date
  • Client formatting preference
  • Relevant unresolved issue
  • Proven weekly-update workpath
  • Access permissions
Excluded
  • Unrelated projects
  • Private notes outside the task scope
  • Old superseded decisions
  • Sources the user cannot access

Core sends only what this task needs, not everything it knows.

The hundredth workflow benefits from the first ninety-nine.

As Core captures more approved context and proven workpaths, recurring tasks require less reconstruction and begin with stronger company-specific preparation.

First workflow
  • Manual source gathering
  • Extensive background explanation
  • Format examples
  • Several corrections
Tenth workflow
  • Known sources
  • Established preferences
  • Prior approved examples
  • A partial workpath precedent
Hundredth workflow
  • Mature project context
  • Proven recurring workpaths
  • Known approval expectations
  • Less repeated briefing

The improvement comes from better proprietary context, better relationships between information, reusable workpaths, maintained decisions and preferences, and stronger task preparation, not from the underlying model retraining itself.

Learning remains visible, permissioned, and controlled.

Core preserves the source behind each important update, respects access boundaries, routes material changes for approval, and keeps the evolving working record auditable and owned by the customer.

Current outcome

Launch date: March 24

Used by 2 workflows
  1. March 3

    Original launch date approved by Maya, sourced from the Meridian kickoff email.

  2. March 10

    A correction moves the date to the 24th. The prior approval stays visible in the history rather than being deleted.

    Superseded
  3. March 12

    The weekly client update workflow uses the revised date and cites this decision as its source.

  4. March 18

    The production checklist workflow inherits the same approved date without re-asking.

Compounding knowledge is only valuable when the company can inspect, correct, and control it.

Let every task build on the work before it.

Connect your tools, bring Core into the AI surfaces you already use, and give every new task the proprietary knowledge your company has already earned.

Try Core free

14-day trial. No card required.

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