work / product-f

Product f ( )

Make your product f()unction

AIProducts Founder & Builder · 2026

Worked with Solo builder · ideation, research, design, architecture, requirements, launch, closed beta group

Visit productf.io ↗
50+ Beta signups
14 Active f() modules
9 Brain memory categories
TL;DR
  • The AI-powered Product Operating System: every capability is an executable function backed by persistent team memory, evidence chains, and human oversight
  • Key decision: it’s not a suite of AI tools, it’s a coordinated operating system; evidence before action, human judgment at meaningful decision points
  • In private beta with early access open: 50+ beta signups, 14 active f() modules, and a Brain spanning 9 memory categories

The real problem

Product teams switch between 50+ tools daily, and none of them share context. AI generates faster than humans can verify. Research dies in transcripts. Decisions vanish into threads. Every AI interaction starts from scratch because no persistent brain learns the team’s decisions, data and strategy.

Goal

Build a coordinated OS where every capability is an executable function, evidence-linked, human-in-the-loop at meaningful decision points.

Outcome

Private beta with early access open and 50+ beta signups. 14 active modules in the f() catalogue, coordinated over a persistent Brain. The only AI that never forgets your team.

The Brain

Beneath every f() module sits a secure, persistent memory layer organised into nine categories: company, product and team identity; strategy, research and data memory; a decision log, learned preferences and active context. Context is injected progressively across four disclosure levels, so each function gets exactly the memory it needs, and nothing it doesn’t.

From the f() catalogue

f(data)NL queries, KPI monitoring, anomaly detection
f(research)Synthesize interviews, surveys, market data at scale
f(ideate)Problem-led brainstorm and PRD generation grounded in evidence
f(version)Release workspaces with configurable gate domains
f(brain)Persistent memory layer, learns team context and decisions
f(support)Support signal ingestion, AI resolution, CSAT modeling

Who it’s for, and what it plugs into

Built for IC product managers, founders and CPOs, VPs and directors of product, and growth PMs. The evidence layer connects to the stack teams already run: GA4, Mixpanel, Stripe, Postgres, Google Sheets and CSV on the data side; Linear, Jira, Notion, GitHub, Google Drive and Slack on the workflow side.

Why it matters

After a decade shipping products for hundreds of millions of users, the bottleneck is no longer building, it’s coordinating judgment. Product f () is the bet that AI-native product work needs an operating system, not another point tool.