FeatureStream logoFeatureStream
Formerly AgenticLib

The Product Management OS for AI Agent Builders

Turn customer requests, agent behaviour analytics and competitor signals by domain and use case into a dynamic product roadmap.

Built for product managers, product owners and product creators within AI Agent companies.

Trusted by teams shipping AI agents
LamigoDexifyRalfi AILamigoDexifyRalfi AI
Why FeatureStream

An entirely context-aware product harness for agentic workflows by vertical.

FeatureStream combines customers requests, lost deal notes, support tickets, agent behaviour, user analytics as well as competitor signals by use case to advise on product feature opportunities ranked by impact and use case cluster expansions.

Built to streamline the process involved in creating an agentic product.

FeatureStream
FeatureStream
Product Catalogue
Reasoning insights
Knowledge compounding
Integration with observability platforms
Supported by
Blackbird VCBlackbird VC GiantsUniversity of Sydney Genesis
Product Catalogue

Keep track of every product detail with the Product Catalogue.

The product owner gets a full view of every feature: customer requests, use cases, revenue and time impact metrics, Planned, In Development and Shipped status updates, and prompt and version changelogs.

From the same record, generate PRDs, UI wireframes, implementation specs, agentic fix specs, release notes and post-launch evaluation specs without switching tools or copying context.

PlannedIn DevelopmentShipped
FeatureStream

WHAT YOU GET

Our analytics lead you to successful outcomes

01

Product Feature Analytics

Know exactly which features get you cited. Scored across security, integrations, pricing, and capability — mapped to the use case that matters for your buyers.

02

Brand & Use Case Benchmarking

See where rivals outrank you — and why. Share of voice by use case, who owns each buying moment, and what it takes to close the gap.

03

Sentiment & Brand Coverage

Hear what LLMs actually say about you. The words, tone, and tags used when a buyer asks Claude or GPT to recommend an agent like yours.

04

LLM Visibility Playbook

Your playbook for getting cited by Claude and GPT. Grounded in what's actually indexed today through citations supported by Parallel.ai.

05

Competitive Intelligence

Continuously monitor hundreds of competitor websites, detect changes over time, and automatically alert users when a competitor ships a product feature.

+47%

Core architecture

The Product Catalogue is the central hub

One permanent record per feature or use case, spanning its entire life. Every entry links back to the original evidence that justified it — so months later a PM can answer “why do we have this feature?” without digging through old notes.

Customer requests
Lost deal notes
Observability evals
Prompt/version changelogs
Product
Catalogue
Revenue & time impact tags
Every entry carries a predicted impact tag. Once shipped, a realised-outcome tag closes the loop — turning estimates into a credible, compounding track record.
Use case clustering
Entries are tagged by status (Jira WIP / backlog / planned / shipped) and by use case cluster, so a PM can see full coverage of any use case at a glance.
Templated agentic workflows
Agentic workflow templates are stored in the catalogue for reuse across features — so patterns that work get built on rather than rebuilt from scratch.

Documents FeatureStream generates

PRD
Includes agentic workflow flowchart
Agentic fix spec
Pointed at one diagnosed issue with root-cause and suggested fix
Implementation spec
With flowchart diagrams
UI / design review
Turned into rough wireframes
Release notes
Framed around agent behaviour outcomes, not just 'we shipped X'
Post-launch eval spec
Compares prompt/version changes against feedback and revenue outcomes
Prompt / version changelog
Timeline of every prompt change paired with before/after metrics

What connects in

FeatureStream works with the tools you already use

Customer requests
Feature requests and product feedback
Lost-deal notes
Win/loss context from sales and CRM
Support tickets
Bug reports and friction signals
Competitor signals
By use case cluster, tracked continuously
Jira
Status sync — WIP, backlog, planned, shipped
Local KAG + architecture context
Your stack, your agent's design decisions
Observability platforms
Langfuse first — traces, latency, eval scores, completion rate, hallucination signals

The PM copilot

A conversational layer on top of the catalogue

Brainstorm and refine an opportunity before committing it to the roadmap. The copilot draws on three sources to give you sharper revenue and impact estimates — not generic priority scores.

01Product Catalogue (RAG)
Local retrieval over your own catalogue, tagged with realised outcomes — so every suggestion is grounded in what actually worked.
02Architecture context (KAG)
Your agent's design decisions and technical constraints, so recommendations fit what you're actually building.
03Public market signals
Competitor feature launches and use-case coverage, weighted by evidence count — not opinion.

Note: FeatureStream surfaces historical and current context today. Predictive forecasting (what will happen) is a roadmap item, not a current capability.

Got Questions?

Frequently Asked Questions

The Product Catalogue is the core of FeatureStream — one permanent record per feature or use case, tracking its full lifecycle: idea, evidence, PRD, in development, shipped, fixed, and evaluated. Every entry links back to the original evidence that justified it, carries a predicted revenue or time impact tag, and once shipped, a realised-outcome tag. The roadmap is simply a filtered view of the catalogue — not a separate database.

FeatureStream connects customer requests, lost-deal notes, support tickets, competitor signals by use case cluster, Jira (for status sync), local architecture and KAG context, and observability platforms — starting with Langfuse, which surfaces agent traces, latency, token cost, completion rate, eval scores, and hallucination signals.

Every output comes from the same catalogue record: a PRD with agentic workflow flowchart, an agentic fix spec (pointed at one diagnosed issue — e.g. '40% drop-off at step 3, likely cause: prompt ambiguity, suggested fix: X'), implementation specs with diagrams, UI/design wireframes, release notes framed around agent behaviour outcomes, a post-launch evaluation spec that feeds back as a new realised-outcome tag, and a prompt/version changelog pairing every change with before-and-after metrics.

The copilot is a conversational layer on top of the catalogue for brainstorming and refining an opportunity before committing it to the roadmap. It draws on three sources: your Product Catalogue via local RAG (tagged with realised outcomes), your architecture and KAG context, and public competitor and market signals weighted by evidence count. It produces sharper revenue and impact estimates — not generic priority scores. Predictive forecasting is a future roadmap item, not a current capability.

Those tools do parts of this well. Productboard handles roadmap discovery; Amplitude Agent Analytics handles diagnostics. FeatureStream connects the full loop — diagnosis, evidence, decision, build, ship, re-evaluate — on a single catalogue record, built specifically for AI agent builders who need product and agent behaviour managed in the same place. The differentiation is the assembled loop, not any single feature.

We currently cover vertical domains (skincare, insurance, legal, construction), horizontal functions (sales, marketing), and tech capability domains. If your domain isn't listed, request it below.