Product context your AI agents can trust

Flowdium connects your research, requirements and design decisions into one cited source of truth — and delivers it to Claude Code, Cursor, Codex and Figma over MCP, so every agent builds from what your team actually knows.

Flowdium dashboard

How it works

Connect. Organize. Deliver.

01

Connect

Link the tools that already hold your product knowledge: research repositories, usability tests, docs and design files. They stay the source of truth.

02

Organize

Flowdium normalizes everything into one model and attaches findings, requirements and decisions to the right product, feature, flow and screen.

03

Deliver

Designers, developers and AI agents get the same cited context: in the web app, over MCP and the API, or inside Figma.

Capabilities

Everything your team needs

Flowdium turns scattered product knowledge into structured, traceable context that designers, developers and AI agents can act on.

Requirements & Decisions

Requirements with acceptance criteria, and design decisions with rationale, alternatives and history — first-class, not buried in docs.

Requirements and decisions

Evidence Linking

Tie research findings and usability results to the requirements they support, or contradict, with a citation for each.

Evidence linking

Context Packets

One structured packet per product, feature, flow or screen, delivered through MCP, the API, Markdown or the Figma plugin.

Context packets

Knowledge Gaps

See unjustified requirements, missing acceptance criteria and stale evidence before an agent builds on them.

Knowledge gaps

Use with AI

One MCP server. Every agent.

Add Flowdium to your coding agent in under a minute. Ask for a product or feature and get its requirements, decisions, evidence and open gaps — no Figma file required.

Terminal

export FLOWDIUM_API_KEY="<your API key>"
claude mcp add --transport http flowdium https://app.flowdium.com/api/mcp \
  --header "Authorization: Bearer $FLOWDIUM_API_KEY"

Then ask your agent: “Use Flowdium’s get_context for the checkout feature and plan the implementation.”

get_context · feature_key: "CHK-F2"

Example
# CHK-F2 · Guest checkout

## Requirements
- CHK-R4 (approved) Guests can pay without creating an account
  - AC: Email is the only required identity field
  - Evidence: 2 supporting · 0 contradicting

## Decisions
- CHK-D1 (accepted) Offer account creation after payment, not before
  - Rests on: CHK-R4, usability study (Maze)

## Evidence
- "I just wanted to buy it, not sign up for something."
  Source: Dovetail · Checkout interviews · 12 days ago

## Gaps
- CHK-R6 has no acceptance criteria

Traceable by design

Every answer is cited

Flowdium never invents research findings. Each piece of evidence links back to the exact passage in its source, shows how fresh it is, and keeps source facts, human decisions and AI synthesis clearly apart.

  • — Quotes stored exactly as written and re-verified when sources change
  • — Stale or contradicting evidence never counts as support
  • — AI-generated content is always labelled

CHK-R4 · Supporting evidence

Example
“I just wanted to buy it, not sign up for something.”
Source factUser needFresh · 12 days

Checkout interviews, session 3

Dovetail · cited by the design team

Open in Dovetail ↗

Integrations

Your tools stay the source of truth

Flowdium reads from the platforms your team already uses and delivers one context layer to every place work happens.

Sources

Notion
DDovetail
MMaze
PPDF & Markdown

Product Context Engine

  • Features & requirements
  • Decisions, objectives & constraints
  • Evidence with citations
  • Gaps & contradictions

Delivered to

Claude Code
Cursor
Codex
Figma plugin

Pricing

Simple, per-seat pricing

Start free. Upgrade when your team outgrows it.

Free

For trying Flowdium on a small product.

$0forever
  • Up to 3 team members
  • 5 flows, 10 screens per flow
  • MCP server and API access
  • Figma plugin

Pro

For teams shipping with AI agents every day.

$10per user / month
  • Everything in Free
  • Unlimited team members
  • Unlimited flows and screens

Design that works for AI Agentic era