Describe a process in plain English. Get a diagram. Export SVG or PNG.
A user signup flow: enter email + password, send verification email, user clicks link, mark account active, redirect to dashboard.
Try it →Checkout flow: cart review, address entry, payment method selection, charge card, on failure retry up to 3 times then show error, on success show order confirmation.
Try it →A CI/CD pipeline: developer pushes to main, run unit tests, if pass then build docker image, push to registry, deploy to staging, run smoke tests, on success promote to production.
Try it →Password reset: user enters email, backend generates one-time token, email sent, user opens link, enters new password twice, backend validates match and strength, updates password, redirects to login.
Try it →Onboarding flows, deploy pipelines, order fulfillment — anywhere you need to draw a step-by-step happy path plus every branch that can fail or loop back.
When a spec has more than one 'if/then/else' at the top level, a flowchart shows the shape faster than prose. Product managers grok it, engineers ship it.
Trace the exact code path that hit the exception. A flowchart of 'what happened' beats a wall of console logs when the on-call reviewer just landed.
New hires need to know 'when X breaks, do Y next'. A flowchart in the README makes tribal knowledge legible without a 45-minute Zoom call.
Retry logic with exponential backoff, rate-limit token buckets, state machines drawn as flow — anywhere the code is easier to review as a diagram than as commented pseudocode.
A one-line prompt gets you a diagram, but rarely the diagram you meant — the model has to guess at every branch you left unsaid. Chat mode asks about the one branch that changes the shape of the flow, drafts the rest, and then tells you what it guessed. Here is a real refund-approval flow, built from a deliberately vague opening line.
Four messages produced a flowchart with a threshold branch, a two-level escalation path, and a reconciliation step — none of which were in the opening line. The same prompt sent one-shot would have invented a single approver and no escalation at all, and you would have had to spot the omission yourself.
Flowcharts are the workhorse of process documentation. Reach for them when you need to explain how a system behaves step by step — with decision points, loops, and branching outcomes. They shine for user flows (signup, checkout, password reset), backend pipelines (CI/CD, order fulfillment, background jobs), and incident-response runbooks where an engineer needs to trace "what happens next" at a glance.
Compared to a diagram drawn in Figma or draw.io, a Mermaid flowchart lives in plain text — it version-controls with the rest of your codebase, renders inline in GitHub READMEs and Notion pages, and stays in sync with the code because updating it is a one-line edit rather than a click-and-drag exercise.
Where flowcharts start to break down: highly parallel systems (use a sequence diagram to show message ordering across actors), or state-heavy objects where you care about legal transitions rather than sequential steps (state diagrams are cleaner). If your "flowchart" has more than about 30 nodes, split it into two — readers get lost past that point.
Not sure how to phrase your prompt? Chat mode lets AI ask 2-3 clarifying questions about actors, events, and edge cases — then draws.
Read our in-depth tutorials — symbols, structures, 9 rules, and copy-paste prompt templates for real-world flows.
Describe a state machine. Get a Mermaid state diagram with transitions.
Turn an API description into a sequence diagram with actors and arrows.
Describe project phases and dependencies. Get a Mermaid Gantt chart.
Describe a topic hierarchy. Get a Mermaid mindmap with nested branches.