How it works

Watch an agent inherit your system —
instead of reinventing it .

Most coding agents start from zero every session. Run one on a system that remembers — the decisions, the patterns, the canon — and it builds with what's already there instead of guessing. Here's what that looks like, step by step.

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The demonstration

One session, four moments.

These are real agent behaviors, generalized. Each one is the difference between an agent that starts from zero and one that starts from your system. Scroll, and watch them land.

01 Inherit the decisions

Before writing anything, the agent read the project’s accumulated decisions and current state — the way a new hire reads the team’s docs before touching the code.

It started briefed, not blank. The prior choices became its starting point instead of guesses it would have to make again.

Session cold-start
02 Ground in the system

Asked to add a page, it first inventoried the existing components and design tokens, then matched the new page to them — same layout shell, same spacing, same named colors.

It built inside the system that already existed instead of opening a parallel one with slightly different rules.

Component + design-source audit, before authoring
03 Catch the drift, reuse instead

It was about to write a fresh scroll-reveal animation from scratch — then found the project already had one, and used that instead.

The system caught a reinvention before it happened. One shared primitive, not a second near-duplicate to maintain forever.

Reuse-before-invent check
04 Ship consistent with the system

The finished page used the same headings, the same buttons, and the same design rules as every other page — and each section traced back to a written spec a reviewer could open.

The output extended the system rather than forking it. Nothing to reconcile later, and the reasoning is on the record.

Final build + review

This shows the agent’s reasoning and consistency — not a measured percentage. We’re running the controlled comparison that earns a number before we claim one.

The artifact

This page was built the way it shows.

The demonstration you just scrolled isn’t a story about other projects. One structured specimen described this page — its sections, its data, its checks — and the page was generated from it. Same shape, every surface.

Source

One Narrative Specimen

specimens/how-it-works/

The demonstration

from the scroll-trace component binding
Six-step pipeline

from the route’s process slice
Across industries

from the route narrative
This page itself

from the code-emission plan

The real specimen lives in the repository at specimens/how-it-works/ — readable YAML, not a screenshot.

Pipeline

Six steps. The names will feel familiar.

Each step maps to a practice you already run. The pipeline doesn’t change between a marketing site and a regulated runbook — only the inputs do.

01 Capture parallel to Domain discovery

Interview, intake, observation. Knowledge enters as text, YAML, or markdown.

Digital product: Interview notes, a product brief, and a regulation become text, YAML, and markdown.
Physical product: A factory’s changeover procedure is captured the same way — words first, structure later.
Human decides: People do the capturing — no engineering skill required to write down what they know.
Agent assists: The agent organizes and cross-links the raw material as it lands.

02 Structure parallel to Information architecture

The captured material gets a schema. Reusable shapes emerge.

Digital product: Recurring shapes get a schema: a journey, a decision, a component, a contract.
Physical product: A bill of materials and a safety checklist get the same shared shapes.
Human decides: Practitioners name the shapes that matter to their domain.
Agent assists: The agent proposes the schema and flags what doesn’t fit yet.

03 Decide parallel to Architecture decision records

Each choice gets a record. The record outlives the decider.

Digital product: Each architectural choice gets a record that outlives the person who made it.
Physical product: A materials-substitution decision is recorded with the same rigor as a code decision.
Human decides: Humans decide. Every gate is a human gate.
Agent assists: The agent drafts the record and surfaces the trade-offs to decide between.

04 Tokenize parallel to Design token governance

Color, type, spacing, motion become named values. Files, not opinions.

Digital product: Color, type, spacing, and motion become named values — files, not opinions.
Physical product: Tolerances and finish standards become the same kind of named, referenceable values.
Human decides: A designer sets the intent and the scale.
Agent assists: The agent derives the full design-source set and keeps every surface bound to it.

05 Resolve parallel to Build pipeline

Generators consume the structured inputs and emit working artifacts.

Digital product: Generators consume the structured inputs and emit working artifacts.
Physical product: The same inputs emit a floor procedure and the compliance doc that mirrors it.
Human decides: A human reviews the output against the spec at the gate.
Agent assists: The agent runs the generation and the verification, and reports what it ran.

06 Surface parallel to Shipped product

Marketing pages, app screens, design systems, runbooks — all from the same source.

Digital product: Marketing pages, app screens, design systems — all from the same source.
Physical product: Delivery runbooks and audit trails ship from that same source, never out of sync.
Human decides: Humans ship and own the result.
Agent assists: The agent keeps the surfaces consistent as the source changes.

Built for teams

For the whole team — not just the technologists.

Anyone can capture

Capturing knowledge takes no specialized engineering skill. The people who hold the domain write it down; the structure comes after.
Human judgment at every gate

The agent assists; practitioners decide. Every decision record, every merge, every release is a human gate — by design.
Works with your stack

No migration. It reads and writes plain files in your repository and meets the tools you already use where they are.
Domain-agnostic

The same pipeline that handles a telecom API specification handles an environmental regulation or a clinical protocol. Only the inputs change.

Across industries

The same pipeline. Four very different rooms.

Domain-agnostic isn’t a slogan — it’s what falls out of capturing knowledge as structured files.

Financial services

A compliance requirement changes mid-quarter.

The interpretation is captured once, structured, and the change cascades to the API contract and the audit trail from the same source — no fourteen-week game of telephone.
Healthcare

A patient-journey step carries a privacy constraint.

The constraint lives on the requirement as structured data, so it travels with the work instead of sitting in a separate policy document nobody re-reads.
Retail & e-commerce

A storefront’s merchandising rules shift for a season.

Product rules live as structured knowledge, so one change updates the customer-facing surface and the internal runbook together — they can’t drift apart.
Manufacturing

A floor procedure and its compliance documentation must agree.

Both are generated from the same structured source, so the document can’t silently diverge from the practice it describes.

Where to next

Seen enough to look closer?

Verify it

Explore the technology

Open formats, real artifacts, every dependency named.

Engage

Tell us about your situation

Skip the demo. We’ll respond to what you’re actually shipping.

Cost it

See the founding pricing

Launch window. Four SKUs. After it closes, prices revert.

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