Foundation

One source of truth for your AI

[Ten tools describe your company ten ways; every agent output needs rework, until one governed GTM record grounds them all.]

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A slice of the governed GTM record every agent reads
ICP tier
[segment]
Positioning claim
[claim]
Proof point
[evidence]

Why is this so hard today?

How it works today

[Ten tools, ten descriptions of the company, endless rework of every AI output.]

With [product]

[One governed, versioned GTM record every agent reads: ICP, positioning, proof, claims.]

Time to value
[duration]
Who owns it
[team]
What it replaces
[tool / manual work]

How does [product] do this?

Autonomy level: [autonomy level: TBD §13.2]. A human approves [what] before anything ships.

  1. 01

    Input

    [You hand it a real artifact for this job.]

  2. 02

    Reasoning

    [It runs the named steps, grounded in your kernel.]

  3. 03

    Human checkpoint

    [A person reviews and approves before anything ships.]

  4. 04

    Output

    [It writes the finished work to your system of record.]

See the full mechanism →How the kernel grounds it →

See what it produces

Kernel record excerpt

A slice of the governed GTM record every agent reads
ICP tier
[segment]
Positioning claim
[claim]
Proof point
[evidence]

Grounded vs. generic

Same prompt: generic agent output vs. kernel-grounded output

Before

Generic
[bland, off-positioning output]

After

Kernel-grounded
[on-ICP, on-claim output]

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The results for this job

[N]†

[Outcome delta]

“[Customer quote scoped to this job.]”
[Named person] · [Title] · [Company]

† [dataset · n · evaluator · date]. No borrowed metrics across solutions (§12).

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Two ways to go deeper

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