Context and memory

What the system knows and what it has learned: sources, precedence, and why what you say always wins.

Everything the system knows lives in one place: the Growth Brain, the self-learning context iHarness runs on. Everything you connect accrues into it, and every outcome comes back to it.

• One store, not two. iHarness's memory and the Growth Brain are the same thing.

• Not a CDP, a data lake, or a warehouse. It sits on your data infrastructure and does not replace it.

Inside it, two kinds of knowing:

• Context is the current picture of your business: your audience, brand, and competition, your funnel, and anything you have told the system directly. Context can be handed over.

• Memory is what the system has learned by running: which signals mattered, which moves worked, what your team approves and rejects. Memory has to be earned.

Where context comes from

Context is seeded from public information about your company, then sharpened by your connected tools and by you. Every claim carries its source, and claims that could not be verified are presented as questions rather than stated as facts.

Which source wins

When sources disagree, precedence is fixed and human-first:

1. What you have declared. A correction from you outranks everything, permanently.

2. Your CRM. Your system of record beats anything inferred.

3. Observed signals. What actually happened on your site and channels.

4. Enriched and public sources. Useful, and the first to yield.

Corrections are versioned: when you change the picture, decisions made afterward reference the picture that was in force, which is what keeps traces honest over time.

What memory holds

• Audience behavior, and what precedes conversion.

• Which messages and moves worked.

• Your team's working patterns: what gets approved, changed, and rejected.

• The resolved results of past decisions.

A decision only becomes memory when its outcome is in. The system learns from what happened, not from what it hoped.

You can also pin facts you want the system to always remember, and correct anything it has learned. Closed-loop, self-learning optimization over memory is a Team and Enterprise capability.

Why it compounds

Context makes the first decision possible. Memory makes the thousandth one better. Evidence earned in your workspace outranks generic benchmarks the moment it exists, which is why the system sharpens with use instead of going stale. See The compounding loop.