PRIVATE BETA · EARLY COHORT OPEN

Every AI tool forgets your product the moment you close the tab.

The operating system for product work. Product f() doesn't forget. It is an AI Product Operating System that remembers your product, your data, and every decision your team has made, so every answer starts where you left off, and every action is one you can trust.

Early access. No spam.

One memory across every functionConfidence routed to humansEvery answer carries its sources

// product shots

A working product, not a concept.

Real surfaces from the private beta. Swipe through the workspace, then see how the Brain and functions connect it all.

// the problem

AI gave product teams speed. It also gave them two new problems.

PROBLEM 01 / AMNESIA

It forgets everything, every time.

You re-explain your product to every tool. Last week's research, your KPI baselines, the call you already made, gone the moment the session ends. Brilliant AI, zero memory of your team.

› what's our activation baseline?‹ I don't have access to your product's data.‹ (so you paste it in. again.)
PROBLEM 02 / BLACK BOX

It's fast. Can you trust it?

The output looks confident. But you cannot see what it knew, what it assumed, or whether it is right. When it moves faster than you can check it, speed stops being a feature and becomes a risk.

‹ Ship v2.4 Friday. Readiness: high.› based on what?‹ (no source. no confidence. no checkpoint.)
GA4MixpanelNotionLinearSlackHubSpotJiraSheets

Eight tabs. Zero shared memory. Product f() replaces the scramble with one OS.

// the operating loop

Watch it catch one thing you would have missed.

These are runnable f() patterns, not feature promises: a real signal, start to finish, through five traceable stages. Pick a scenario and watch what the system saw, why it acted, and where you stay in control.

STAGE 01

It watches while you work

f(data) is watching activation, continuously, against your own baseline. Nobody had to ask. You were in another tab.

inngest · data-anomaly-check
f(data)ANOMALY
Activation dropped
42% to 31% · post-deploy · Mon
STAGE 02

It shows its sources

Before it answers it pulls your real baselines and the last time this happened, so the finding points to evidence, never a guess.

brain context · L0 to L2
STAGE 03

It knows when it is unsure

Every output gets a confidence score. High enough, it acts. In the grey zone, it brings the call to you.

0.78 → routed for review
confidence0.78
routed for review
STAGE 04

It checks with you before acting

Anything that leaves the building waits for your approval first. AI proposes, you decide.

HITL queue · class-2 action
⚑ NEEDS YOUR APPROVAL
Post the anomaly alert to #product-team? Evidence and Brain context attached.
STAGE 05

It remembers what you decided

Your call writes back to the Brain as a new node. Next Monday it already knows this pattern. The loop starts smarter.

brain write · +1 node

// the brain

The part that makes it compound.

A secure, persistent memory layer beneath every function. Nine kinds of context, injected only when a task needs them. Scroll, or drag the timeline, to watch it build.

Explore Brain
  • L0Company IdentityHow the team decides, what it optimizes for
  • L0Product IdentityICP, stage, positioning, differentiators
  • L0Team IdentityMembers, roles, ownership, rituals
  • L1Active ContextThis sprint, priorities, blockers
  • L1Strategy MemoryOKRs, roadmap commitments, positioning
  • L1Data MemoryKPI baselines, what good looks like
  • L2Research MemoryValidated personas, pains, recurring insights
  • L2Decision LogPast decisions, rationale, outcomes
  • L2Learned PreferencesFrameworks, tone, format, from how you work

// what powers

Real functions. Shipping today.

Each f() is a named, executable skill with shared memory, shared evidence, and a human checkpoint. Here is what is live right now, labeled honestly.

Along with

STANDUPREACHSUPPORTDEVDESIGNTEST

// make it yours

Console, Minimal, or Retro. Your call.

Three themes, light or dark. Switch anytime in Settings.

Console, DarkConsole, LightMinimal, DarkMinimal, LightRetro, DarkRetro, LightConsole, Dark

// open source cli

Your Brain, wherever you already work

npx @productf/cli bridges your workspace’s Brain into any MCP-speaking tool — Claude Desktop, Cursor, and more — over a secure hosted connection. No install, no server to run yourself.

› npx @productf/cli brain‹ connecting to your workspace Brain…‹ bridge ready — MCP tools live-synced from your instance
View productf-cli on GitHub

// human in the loop

AI proposes. You decide.

Built on one rule: AI should never move faster than you can verify it.

Explore human-reviewed agents

Confidence decides who acts

Every output is scored. At or above 0.85 it acts automatically. Between 0.60 and 0.85 it comes to you. Below 0.60 it is discarded.

It shows its work

Every answer carries the memory it used, the model that ran it, and its confidence. The sources panel is open by default, never buried.

You set the leash

Choose oversight per task: let it run, review before it saves, or approve every step. Auto-approve the routine, hard-stop the irreversible.

Ask allReview exceptionsFully automated

AI proposes. You decide. The system logs why.

Speed without transparency is not a feature. It is a liability.

// who it's for

Built for anyone who needs to understand the product.

Product managers, founders, researchers, designers, engineers, support teams, and leaders get the same shared understanding — with the right depth for the work in front of them.

Product managers

Turn scattered signals into the next clear move.

Ask questions in plain language, draft PRDs from real evidence, and walk into planning and launch reviews with the context already connected.

Product leaders

Create one operating rhythm across every squad.

See the signals, decisions, and delivery work that matter without status theater. Keep strategy traceable from quarterly bets to what ships.

Founders & operators

Keep the company’s product memory in the company.

Make decisions with the evidence in reach, surface risks before they become incidents, and preserve the reasoning that compounds as the team grows.

Designers & researchers

Connect customer understanding to the work.

Bring interviews, comments, concepts, and validated insights into the same context as plans and decisions, so important details keep moving.

Engineers & technical leads

Make delivery context visible before execution.

Trace bugs, constraints, releases, and technical decisions back to the product intent. Spend less time reconstructing why and more time building.

Customer, growth & operations teams

Turn frontline signals into product learning.

Bring support patterns, churn risk, experiments, and operational feedback into the loop so the people closest to the customer can shape what happens next.

See more use cases

Stop re-explaining your product to your tools.

Give your team one memory and one loop that compounds. Be first in line.

We invite in small cohorts and build closely with the first one.