For AI agent builders

Let Me
Break It Down

Map the collaboration. Generate the implementation brief.
Describe component-to-component behavior in sequence-diagram form, annotate constraints, and turn it into Markdown instructions for coding agents.

checkout-flow.lmbid Diagram
Client Frontend API Gateway DO NOT MODIFY Orders orders-svc POST /checkout createOrder() async {orderId, status} 200 OK DO: show order ID DON'T: poll status use event stream
generates
checkout-flow.md Agent brief
# Checkout Flow
_Generated by Let Me Break It Down_

## Flow
```mermaid
sequenceDiagram
  Client->>API Gateway: POST /checkout
  API Gateway-->>Orders: createOrder() [async]
  Orders-->>API Gateway: {orderId, status}
  API Gateway-->>Client: 200 OK
```
## Components
API Gateway⚠ DO NOT MODIFY — managed infra
Orders — orders-svc — owns order lifecycle

## Rules
✓ DO show orderId immediately in UI
✗ DON'T poll order status — use event stream
✗ DON'T modify API Gateway configuration

_Pass this file to your coding agent as context._

Everything an AI-agent
handoff needs

Not a universal diagram app. This is purpose-built for sequence-style collaboration maps that become actionable implementation instructions.

Sequence-first collaboration canvas

Model how components collaborate step by step: participants, calls, responses, and message types in classic sequence-diagram fashion.

visual sequencing

Component library from real repos

Import components from Bitbucket or CSV, group them by workspace, and plan with the same service names your codebase actually uses.

bitbucket + csv

Guardrails on components and messages

Attach Do's, Don'ts, and "DO NOT MODIFY" notes directly in the flow so implementation constraints stay visible at the exact step they apply.

implementation constraints

Markdown instructions for coding agents

Generate structured Markdown from the diagram so AI agents can build or modify implementation with sequence context and explicit guardrails.

agent-ready markdown

Shared plans for teams

Keep diagrams, team workspaces, and component libraries aligned so architecture intent survives handoff from planning to coding.

shared diagrams

Interoperable outputs

Copy Markdown instructions or export Mermaid, PNG, and JSON so both humans and agents can use the same plan in their own tools.

markdown · mermaid · png · json

From architecture intent
to agent execution

01

Load your components

Import from Bitbucket or CSV so the map starts from real services instead of placeholders.

02

Map the collaboration

Describe call order, sync/async behavior, and participant interactions in sequence-diagram style.

03

Annotate guardrails

Add Do's, Don'ts, and immutable boundaries exactly where they matter in the flow.

04

Generate agent markdown

Produce implementation-ready Markdown to brief AI agents, and share visual exports for team review.

One plan, multiple handoff formats

Mermaid sequence code
PNG image
JSON flow data
Agent instructions (Markdown)

Brief AI agents with
clear system context.

Turn sequence-style collaboration maps and visual annotations into implementation instructions your coding agents can execute confidently.

Open the builder →