İ Izge Open app

local-first decision intelligence

Izge reveals the hidden structure of organizational memory.

Not chat over files. Not internal search. Izge reconstructs decisions, assumptions, contradictions, drift, and next actions from the artifacts your team already leaves behind.

Open the app Watch a decision come back to life
Memory under tension
Calm pattern

Organizational memory has structure before it has answers.

A woven field of decisions, assumptions, constraints, commitments, and outcomes waits to be made legible.

Evidence fiber: roadmap_notes.md · q2_planning.pdf · launch_review.txt · meeting excerpt
Decision thread

A decision is never alone.

Delay self-serve launch to Q3. Izge treats the decision as a thread with context, not a standalone note.

Memory object: Decision · source: roadmap_notes.md
Supporting structure

It is shaped by assumptions, constraints, commitments, and outcomes.

Activation instrumentation is not ready. Manual onboarding capacity is limited. The weave shows why the decision held.

Memory objects: Assumption · Constraint · Commitment · Outcome
Contradiction tension

When history and current direction collide, Izge makes the tension visible.

A later plan reopens launch scope in late Q2, conflicting with the prior capacity reasoning behind the Q3 delay.

Contradiction: prior decision vs. later plan · evidence-linked
Next-action path

Izge turns organizational memory into decision intelligence.

Schedule activation-readiness review before reopening launch scope. Resolve security approval and revalidate capacity.

Guidance grounded in reconstructed evidence, not generic advice.

Category refusal

If it looks like chat over files, it already lost the plot.

Not internal search.

Not chat over files.

Not a PM copilot.

A system that remembers why decisions happened.

Use case scenario

Watch a decision come back to life.

Upload the fragments. Izge reconstructs what was decided, why it happened, what later contradicted it, and what should happen next.

01 / Ingest the fragments

A messy artifact pile enters the record.

Roadmap notes, a planning PDF, a launch review, and a pasted meeting excerpt arrive as evidence-bearing sources.

02 / Extract the memory

The fragments become institutional memory objects.

Izge extracts decisions, assumptions, constraints, commitments, and outcomes without turning the product into chat over files.

03 / Rebuild the lineage

The original reasoning becomes visible again.

The Q3 delay connects to activation instrumentation and manual onboarding capacity, making the decision inspectable.

04 / Surface the contradiction

The record starts arguing with the new plan.

A later late-Q2 launch proposal collides with the prior Q3 decision. The conflict is evidence-linked, not inferred from vibes.

05 / Recommend the next move

The action is serious because the evidence is visible.

Izge recommends readiness review, security approval resolution, and assumption revalidation before scope reopens.

The actual failure mode

The old debate returns wearing a new filename.

Critical context is scattered across roadmap notes, product strategy docs, meeting writeups, pasted text, and PDFs. Teams repeat decisions, act on expired assumptions, and create commitments that quietly contradict the record.

roadmap.md “Focus onboarding until activation stabilizes.”
strategy.pdf “Move sprint capacity into pricing experiments.”
meeting-notes.txt “Assumption: education is the bottleneck.”
pasted text “Decision owner unclear after reorg.”

01 / Ingest

Artifacts enter as evidence, not vibes.

Markdown, plain text, PDFs, and pasted text become source-bounded objects with provenance attached.

02 / Reconstruct

Decisions become structured memory.

Izge extracts decisions, assumptions, constraints, outcomes, commitments, owners, and timestamps into a traceable graph.

03 / Reason

The record starts arguing with itself.

Contradictions, drift, lineage, uncertainty, and permission limits become visible before recommendations appear.

Four reasoning modes

Decision intelligence is not a chat box. It is a sequence of checks.

01

Decision lineage

Rebuild the path from proposal to decision to consequence.

02

Contradiction analysis

Expose when a later plan conflicts with an earlier commitment.

03

Assumption drift

Detect assumptions that quietly expired while the team kept moving.

04

Next-action guidance

Recommend the next move only after the evidence is inspectable.

source span decision edge conflict edge recommended check

Current plan conflicts with the recorded onboarding commitment.

Next action: inspect rationale before reallocating sprint capacity.

Product trajectory

A layered system for organizational judgment.

Layer 01

Institution Memory Engine

Structured extraction, graph relationships, provenance, permissions, and auditability.

Layer 02

Decision Guidance Layer

Evidence-aware reasoning over lineage, contradiction, drift, uncertainty, and next actions.

Layer 03

Bounded Scenario Support

Simulation only when the remembered record is strong enough to bound speculation.

Why it can win

Trust is not a feature added later. It is the architecture.

Local-first from day onePrivate memory should not begin inside a black box.
Evidence-aware reasoningEvery answer should show where its confidence came from.
Graph-backed intelligenceContradictions need relationships, not keyword matches.
AuditabilityThe system must remember how it reasoned, not just what it said.

Manifesto

Memory before magic.

History before speculation.

Evidence before confidence.

Structure before summary.

Local-first trust from day one.

Izge

Build memory that survives the next meeting.

For product and roadmap teams entering the phase where forgotten rationale becomes strategic drag.

Open the app Return to the opening claim