CONTEXTUAL AI NATIVE COLLABORATION

Product management for the agentic era.

SteerFlow is a product management orchestration platform where PMs, designers, and engineers collaborate with their AI agents to build multi-step, complex production-grade products.

DISCOVERY01 / 04
SPEC/password-reset
FLO synthesizes raw research into evidence-linked specs.
user_interviews.csv0%
nps_q3.json0%
support_tickets.md0%
◆ insight 87% churn cite multi-step verification fatigue.
SOLUTIONING02 / 04
DECISION/auth-method
Weigh trade-offs. FLO surfaces evidence and conflicts.
Magic link0 / 30
Passwords0 / 30
3 conflicts resolved · evidence linked
PLANNING03 / 04
EPIC/auth-reset
Stories materialize with acceptance criteria, ready for engineering.
AUTH-12Send magic link email
AUTH-13Verify token + redirect
AUTH-14Rate-limit per address
AUTH-15Recovery via support flow
Synced to Linear · Jira
DEVELOPMENT04 / 04
PR #482/auth-reset
Cursor's agent ships with full context. No re-explaining.
MCP ← 12 sourcescontext packet received
Tests passing · context preserved
Connects to
your stack
Cursor
Claude Code
Figma
Linear
GitHub
Notion
Miro
Jira
Databricks
Microsoft Teams
Mixpanel
Google Workspace
Amplitude
Cursor
Claude Code
Figma
Linear
GitHub
Notion
Miro
Jira
Databricks
Microsoft Teams
Mixpanel
Google Workspace
Amplitude

One context layer, zero information loss.

Phase 01

Discovery

01

Capture user interviews, market signals, and research insights into structured context assets.

In: Interviews, surveys, analytics
Out: Insight objects, opportunity map
INGESTING 0/5
0 insights
○user_interviews.csvQUEUED
○nps_data.jsonQUEUED
○support_tickets.csvQUEUED
○analytics.csvQUEUED
○competitor_audit.mdQUEUED
Phase 02

Solutioning

02

Transform insights into solutions. From decision making assistance to detailed spec and solution documentation.

In: Discovery, evidence items
Out: Ranked options, decision log
Option A
Modular Rebuild
Scalability0.92
Effort0.55
Risk0.20
Option B
Full Rewrite
Scalability0.55
Effort0.85
Risk0.78
→ scoring against 12 evidence items…
Phase 03

Planning

03

Break solutions into scoped EPICs, stories, and tasks with context-aware dependencies, and acceptance criteria.

In: Solution specs, team capacity
Out: Sprint plans, task graphs
EPIC: AUTH OVERHAUL0/5 scoped
⟳Welcome screen & account setupSCOPING…
○Profile completion wizardQUEUED
○Team invitation & rolesQUEUED
○First-run tutorial flowQUEUED
○Empty-state coaching cardsQUEUED
Phase 04

Development

04

Feed rich context directly into AI coding tools via MCP — so code is written with full product understanding.

In: Task graphs, specs, context
Out: Context-aware code, PRs
STEERFLOW MCP · CONNECTED
>
THE PROBLEM

Without a context layer, this is what happens.

Product teams generate mountains of context every week — user interviews, design rationale, technical decisions, competitive analysis, codebases and documentation. But none of it flows.

It sits in scattered docs nobody reads, Slack threads nobody searches, and meeting notes nobody references. So when it's time to build, everyone — and every AI agent — starts from scratch.

#product-strategy
"wait, didn't we decide against that approach in March?"
↑ 12 replies · 3 weeks ago · unread
DGoogle Doc
OUTDATED
Authentication overhaul spec — Phase 2
Last edited 6 months ago
tell maya about the edge case ??
📝Q3 Planning · Notion
Meeting notes — Q3 planning
"Action items: TBD" Last viewed: never
AUTH-342
Reset flow blocked
Status: unclear · 4 blockers
auth-overhaul.fig
3
"is this the latest?"
7 unresolved comments
EMAIL
Re: Re: Fwd: Re: spec
see attached →
∴ thread depth: 23
PR #1842 · stale
feat: rework session resume
Awaiting review · 41 days
why did we ship this???
user-interview-17.mov
00:42:18 — "the onboarding is confusing because…"
Watched: 0 / 30 people
Heard in the wild · 6 voices · 6 tools · 1 missing layer
#research2:14 PM
MO
Maya OkaforPM

We did 30 user interviews last quarter. Nobody on engineering ever saw them.

LAUTH-342 · COMMENT3:02 PM · today
DS
Diego Salas

The spec said one thing, the Figma said another, and the ticket said something else entirely.

PR
session-resume v2 · FIGMA
Priya Raman

I spent two days building a feature that was already deprioritized. The decision was in a Slack thread I never saw.

cursor — auth/session.ts5:21 PM
JB
Jonas Beckvia cursor

Our AI coding assistant writes confident, wrong code because it has zero product context.

📝Sprint 47 · Planning · NOTIONYesterday
RM
@Reina Müller commented

Every planning session starts with 45 minutes of archaeology — digging through old docs to remember why we made decisions.

GPR #1842 · GITHUB · 8 days ago
AP
Aiden Park

"Why was this PR closed? No reason in the thread."

One context layer
6 voices. 7 tools. One missing source of truth.
TWO MODES, ONE TRUTH

Your AI agent. Their AI agents. One shared truth.

Both modes work together. Build structured context & documentation in SteerFlow. Execute in your tools. Every agent stays aligned.

MODE 01

Collaborate with FLO

Work directly with FLO, SteerFlow's AI agent, to build and iterate on your documents at any phase. Upload research, challenge assumptions, refine requirements, generate plans. The AI is your thinking partner — it pushes back, connects evidence, and structures your output.

FLO
Connected to 12 sources
Ask FLO anything…
MODE 02

Your tools talk to SteerFlow

Use your existing MCP-compatible tools — Cursor, Claude Code, Figma, Linear, GitHub. Their AI agents communicate directly with SteerFlow to get clarifying context, acceptance criteria, and architecture decisions. SteerFlow becomes the source of truth your entire stack reads from.

SteerFlow MCP
Cursor Agent
SPEC: OFFLINE SUPPORT
9 SOURCES ●●●●●●●●●
✦ CLAUDE CODE (QA Agent)
Querying SteerFlow for acceptance criteria on offline sync...
FEATURES

What will you get on SteerFlow AI?

AI-NATIVE COLLABORATION

Expert AI Agent Swarm

Collaborate with opinionated, well-trained AI agents — from deep research and data analytics to design experts and technical architects. No yes-sir bots, structured domain experts with self-reflection at every step, scaling your output 10x.

Research Agent
analyzing 23 sources…
Design Expert
reviewing wireframes…
Tech Architect
evaluating trade-offs…
Product Expert
reviewing PRD v2.1…
▸ Describe the task in plain english, and the right Agent will pick it up...
→ 4 AI Agents active, 2 self-reflecting
DOCUMENTATION

Structured Co-Authoring

Build detailed documentation across the lifecycle — PRDs, EPICs, Stories, Personas. With AI that co-authors, not just suggests.

⟳User Personas.mdCO-AUTHORING…
○Research Presentation.pptxQUEUED
○PRD v2.1.mdQUEUED
○Epic BreakdownQUEUED
○Test Plan.mdQUEUED
GOVERNANCE

Controls your security team will sign off on

Define which agents can read which context, what they can act on, and who reviews before code ships. Every decision logged, every artifact attributable.

Scoped agent permissionsPer-epic
Approval gatesConfigurable
PII & secret redactionAutomatic
Audit logImmutable
TRACEABILITY

Evidence-Linked Decisions

Every decision documented with reasoning. Resources tagged for full audit trails.

DECISION AUDIT
📌 Magic link improves conversion
↳ 3 sources linked ✓ VERIFIED
↳ NPS +32, 5 interviews cited
📌 Drop SMS 2FA for v3
↳ 4 sources linked ✓ VERIFIED
↳ support cost -41%, deliverability issues
VERSIONING

Living Specs, Not Static Docs

Specs evolve with your product. Branch, diff, and merge — every change reviewable, every version recoverable.

PRD v2.1.md · HISTORY
●v2.1 · current2h ago
○v2.0 · scope cut1d ago
○v1.4 · approved3d ago
INTEGRATION

AI-Native Integration

External tools communicate natively with SteerFlow's knowledge base via MCP servers, plugins, or Skills — whatever your tool supports. Cursor, Windsurf, Claude Code, and any MCP-compatible agent.

→ 3 specs, 8 decisions delivered via MCP
CONNECTED TOOLS
Cursor←Skill→SteerFlow Skill
Claude Code←Plugin→SteerFlow Plugin
Jira←MCP→SteerFlow MCP
TESTIMONIALS

Built for teams who are tired of building the wrong thing.

“

We finally have one place where research, requirements, and technical specs live together. Our agents stopped guessing.

Jeyki Chen
VP of Product, InovaLab
“

The MCP connection changed everything. Our Cursor agents now query the actual requirements instead of working from half-read tickets.

Marcus Rivera
Engineering Lead, Tamara
“

From discovery to sprint planning in one workspace. We cut our spec-to-development handoff time in half.

Aisha Patel
Head of Product, G42
EARLY ACCESS OPENING SOON
Get early access to shape the product.
FAQ

Frequently Asked Questions

No. SteerFlow is the context layer across the entire product development lifecycle. It covers Discovery, Solutioning, Planning, and Development. A PRD is one artifact in phase 1. We structure 20+ documents across four phases, all linked and queryable.

LATEST CONTENT

Field notes from the context layer.

View all content

Your agents are good enough.

Give them the right context for scale.

AI agents are fast enough. But every engineer feeds their agent a different version of the truth. Five agents. Five silos. Fast, confident, half valuable commits. SteerFlow is the shared context layer that keeps every human and every AI agent aligned — from first quick search to final commit.

Early access opening soon. No credit card required.