Akashic Record

Turn past decisions into reusable judgment memory

Past Self Advises Present Self.
On-prem, offline-first. Your data never leaves your network.

Core unit

CJR — how a decision is deconstructed

A decision is not one blob of text. Akashic Record breaks it into Condition, Judgment, and Reasoning — so the structure can be stored, compared, and reused when a similar situation returns.

C · Condition

The situation you observed — constraints, signals, and assumptions at the time.

J · Judgment

The call you made under those conditions — what to do, defer, or refuse.

R · Reasoning

Why that judgment followed — the logic you would reuse or revise later.

Capture

Structure the decision before the debate

Decision context, conditions, evidence, and initial reasoning become a CJR candidate — Condition, Judgment, Reasoning.

Akashic Record Deep Mode input with a filled decision scenario
Input is the decision on the table, not a search query.
Reuse

Past judgment is a starting point

Material differences, conflicting evidence, and a draft for humans to confirm. AI proposes; people decide what becomes memory.

Memory action

How the precedent becomes a controlled update

Reuse with modification, the conditions that would reopen review, and the lineage tying the new memory to prior CJRs.

Evidence trail

Why this precedent — and why not the others

The Evidence Room keeps the selected judgment, its conditions, and the classified alternatives in one reviewable trail.

Architecture

This is our architecture

Documents enter as candidates. Humans confirm. CJR is the reusable unit — searched, compared, and improved over time.

AI proposes
never writes truth alone
Human confirms
Inbox → confirmed CJR
Memory compounds
reuse beats re-debate

Pilot with your team

Fifteen minutes. No pitch deck — questions about how you preserve decisions.

Request a 15-min Interview

What is judgment memory · Hays evidence room