use case experiments

Where judgment lives and compounds.

Cognition is not a search index. It is a spectral-adaptive memory system that captures the moment of resolution, keeps the author and their reasoning, tracks freshness over time, and routes every future agent to executable judgment, not a pile of notes.

Start with the prompt Browse experiments See benchmark data

The five-step proof loop

what makes this different

Not a search index. A retention system with provable bounds.

Spectral retention

Decay derived from operator theory on your knowledge graph, not a fitted average.

signal

Confirm-first capture

Nothing reaches the team brain without a human yes. No auto-indexed noise.

context

Executable judgment

Structured skills with steps, checks, and provenance. Not a similarity match.

evidence

Scoped, revocable keys

Personal and org-scoped access. Nothing crosses orgs without consent.

Spectral retention

Decay derived from operator theory on your knowledge graph, not a fitted average.

Confirm-first capture

Nothing reaches the team brain without a human yes. No auto-indexed noise.

Executable judgment

Structured skills with steps, checks, and provenance. Not a similarity match.

Scoped, revocable keys

Personal and org-scoped access. Nothing crosses orgs without consent.

use case → workflow

Where your team's judgment lives, and how to make it retrievable.

Six workflows, each mapped to its real use cases, the skill patterns that fire, and a prompt you can drop into your agent right now.

EngineerTech LeadCode Reviewer

The best engineers on your team are debugging the same classes of bugs every month. Cognition captures the fix once, attributes it to the person who found it, and routes every future agent to it before they guess.

Recurring build failures

Trigger

Agent sees a Vercel/CI error it hasn't seen before

SKILL Check env scoping — Alice's fix from March. Deploy only after NEXT_PUBLIC_ vars match staging.

Fix retrieved in 4s. Previously took 45 min of bisecting.

Auth edge cases

Trigger

OAuth callback race condition on mobile

SKILL Add 300ms debounce + session lock before redirect. Root cause: token write < redirect.

Two engineers avoided re-diagnosing; one blocked PR caught pre-merge.

Code review taste

Trigger

PR opens touching the data layer

SKILL Never mutate shared state in useEffect. Return cleanup. Enforced since Q1 incident.

New teammates review like seniors. Taste travels with the repo.

Flaky test diagnoses

Trigger

CI fails inconsistently on timing-sensitive tests

SKILL Mock Date.now() and advance fake timers. Real async causes non-determinism.

Test suite green. Root cause documented, not rediscovered.

Try this

Draft a skill from this session

Turn what we just did into a Cognition skill with: When to fire, Steps, Checks, and Why it works. Only include reusable workflow knowledge. Do not include secrets, raw logs, or one-off details.

why cognition is different

Memory that decays, consolidates, and teaches back.

Cognition treats work as a learning signal. Skills carry freshness and outcome history, so stale guidance asks first instead of misleading the next agent.

retention.ts

1// spectral retention: decay from the graph Laplacian

3export function retrievability(

4 node: SkillNode,

5 now = Date.now(),

6): number {

7 const S = 1 / spectralGap(node.L) // S = 1/λ₁(L)

8 const dt = (now - node.reviewedAt) / DAY

9 return Math.exp(-(dt / S) ** node.beta)

10}

12// weakest layer bottlenecks the whole manifold

13const spectralGap = (L: Laplacian) =>

14 Math.min(...L.layers.map(eigGap))

1// spectral retention: decay from the graph Laplacian

3export function retrievability(

4 node: SkillNode,

5 now = Date.now(),

6): number {

7 const S = 1 / spectralGap(node.L) // S = 1/λ₁(L)

8 const dt = (now - node.reviewedAt) / DAY

9 return Math.exp(-(dt / S) ** node.beta)

10}

12// weakest layer bottlenecks the whole manifold

13const spectralGap = (L: Laplacian) =>

14 Math.min(...L.layers.map(eigGap))

Prompts, files, tool calls, decisions, and outcomes become typed learning events.

shortest path to value

The second agent is better because the first one learned.

Start with one real workflow. Capture the skill, retrieve it in the next session, apply it, report whether it helped. That is the full loop.

Start memory Run a team pilot

Where judgment lives and compounds.

Where your team's judgment lives, and how to make it retrievable.

Six workflows, each mapped to its real use cases, the skill patterns that fire, and a prompt you can drop into your agent right now.

EngineerTech LeadCode Reviewer

Recurring build failures

Trigger

Agent sees a Vercel/CI error it hasn't seen before

SKILL Check env scoping — Alice's fix from March. Deploy only after NEXT_PUBLIC_ vars match staging.

Fix retrieved in 4s. Previously took 45 min of bisecting.

Auth edge cases

Trigger

OAuth callback race condition on mobile

SKILL Add 300ms debounce + session lock before redirect. Root cause: token write < redirect.

Two engineers avoided re-diagnosing; one blocked PR caught pre-merge.

Code review taste

Trigger

PR opens touching the data layer

SKILL Never mutate shared state in useEffect. Return cleanup. Enforced since Q1 incident.

New teammates review like seniors. Taste travels with the repo.

Flaky test diagnoses

Trigger

CI fails inconsistently on timing-sensitive tests

SKILL Mock Date.now() and advance fake timers. Real async causes non-determinism.

Test suite green. Root cause documented, not rediscovered.

Try this

Draft a skill from this session

Turn what we just did into a Cognition skill with: When to fire, Steps, Checks, and Why it works. Only include reusable workflow knowledge. Do not include secrets, raw logs, or one-off details.

Memory that decays, consolidates, and teaches back.

Cognition treats work as a learning signal. Skills carry freshness and outcome history, so stale guidance asks first instead of misleading the next agent.

retention.ts

1// spectral retention: decay from the graph Laplacian

3export function retrievability(

4 node: SkillNode,

5 now = Date.now(),

6): number {

7 const S = 1 / spectralGap(node.L) // S = 1/λ₁(L)

8 const dt = (now - node.reviewedAt) / DAY

9 return Math.exp(-(dt / S) ** node.beta)

10}

12// weakest layer bottlenecks the whole manifold

13const spectralGap = (L: Laplacian) =>

14 Math.min(...L.layers.map(eigGap))

1// spectral retention: decay from the graph Laplacian

3export function retrievability(

4 node: SkillNode,

5 now = Date.now(),

6): number {

7 const S = 1 / spectralGap(node.L) // S = 1/λ₁(L)

8 const dt = (now - node.reviewedAt) / DAY

9 return Math.exp(-(dt / S) ** node.beta)

10}

12// weakest layer bottlenecks the whole manifold

13const spectralGap = (L: Laplacian) =>

14 Math.min(...L.layers.map(eigGap))

Prompts, files, tool calls, decisions, and outcomes become typed learning events.

Where judgment lives and compounds.

The five-step proof loop

Not a search index. A retention system with provable bounds.

Where your team's judgment lives, and how to make it retrievable.

Turn tribal knowledge into team infrastructure.

Recover faster. Stop relearning the same incidents.

First agent install → productive in hours, not weeks.

Orchestrate context retrieval without pretending to replace search.

Never relitigate an architectural choice.

Objection memory that compounds across every rep.

Spectral retention that neuroscience validates.

Memory that decays, consolidates, and teaches back.

Where judgment lives and compounds.

The five-step proof loop

Not a search index. A retention system with provable bounds.

Where your team's judgment lives, and how to make it retrievable.

Turn tribal knowledge into team infrastructure.

Recover faster. Stop relearning the same incidents.

First agent install → productive in hours, not weeks.

Orchestrate context retrieval without pretending to replace search.

Never relitigate an architectural choice.

Objection memory that compounds across every rep.

Spectral retention that neuroscience validates.

Memory that decays, consolidates, and teaches back.