purpal is an autonomous PM agent. It ingests customer signals, detects patterns, drafts specs, and hands off to your engineering team — so you focus on what to build, not on building the case for it.

Supported by

Connects to where your signals live

Intercom
Zendesk
Slack
Zoom
Google Meet
Notion
Google Drive
HubSpot
Salesforce
PostHog
Mixpanel
Sentry
Linear
Jira
CSV

AI coding agents are fast. But they still need someone to tell them what to build.

Customer complaints pile up in Intercom. Feature requests live in spreadsheets. What customers said on calls never makes it into the ticket. PMs spend their days assembling documents instead of making product decisions.

purpal does the assembly. You make the calls.

Your autonomous PM team.

purpal’s agents work around the clock, ingesting signals, theming patterns and drafting specs so you review instead of write.

Always on·Signal detection
  1. 1

    Signal detection

    Ingests customer conversations, themes patterns, and surfaces what matters before you ask.

    conversationsthemes

  2. 2

    Spec drafting

    Generates PRDs, UX briefs, engineering tickets, and tracking plans from real evidence.

    themesa drafted spec

  3. 3

    Quality validation

    Catches missing metrics, uncited claims, and gaps before engineering sees it.

    a drafted speca cited spec

  4. 4

    Delivery handoff

    Pushes validated specs to Jira or Linear, or exposes them to coding agents via API.

    a cited spectickets

From raw signals to engineering ready specs.

purpal's agents turn scattered customer feedback into validated, structured specs. Automatically.

Before
Google Meet · Product sync · 47:23

“...they need faster search but also mentioned wanting filters, and then the PM from Enterprise jumped in about sorting...”

Who owns this? No action item created.

Slack · #product-requests · 14 replies

@channel can we also add sorting? The PM from Enterprise asked for it yesterday. Also @design is the search bar moving?

3 different threads. No resolution.

PostHog · Search funnel
Abandonment34%Filter usage12%Bounce rate67%
Notion · Q3 planning

PRIORITY: Fix search!! But also Jane said filters are more important?

After
Smart Search Enhancement
Problem

Users abandon search due to lack of filtering, causing 34% drop-off and 67% bounce on results pages.


Requirements
  1. Faceted search with category filters
  2. Real-time suggestions (<200ms)
  3. Sort by relevance, date, popularity

User Story

“As a power user, I want to filter results by category so I can find relevant items faster.”


Acceptance Criteria
  • Results update within 200ms
  • Filters persist across sessions
  • Mobile responsive, 44px+ touch targets

AI coding agents solved “how to build.”
purpal solves “what to build.”

Solved

How to build

AI coding tools ship features in hours. The implementation is no longer the bottleneck.

Still yours

What to build

Which problem, backed by which evidence, worth which trade-off. No coding agent answers that.

When specs are wrong, you don’t just waste time. You ship the wrong thing faster.

The PM’s role isn’t document assembly. It’s decision-making. purpal handles the assembly so you can focus on the decisions that matter.

Specs that humans and AI can ship from.

Every spec is structured for your engineering team and machine-readable for coding agents. No guesswork. No rewriting.

  • PMs review and approve instead of writing from scratch.
  • Engineers get tickets with real acceptance criteria.
  • Every claim is cited with evidence or flagged as an assumption.
Smart Search Enhancement
Acceptance Criteria
  • Results update within 200ms
  • Filters persist across sessions
  • Mobile responsive, 44px+ touch targets

Evidence

“Search is useless without filters.” signal · intercom

34% drop-off on results pages assumption · unverified

How it works

From customer pain to a validated, engineering ready spec. Autonomously.

  1. 1

    Connect your signals

    Connect Intercom, upload a CSV, or pipe in signals from any source. purpal's agents cluster them into themes, detect urgency, and surface the issues that matter most.

    and more
  2. 2

    Review, don't write

    Autonomous agents draft the complete spec: PRD, engineering tickets with acceptance criteria, tracking plans, and an evidence ledger. You refine and approve.

    Smart Search EnhancementDrafted
    Approve
  3. 3

    Ship with confidence

    The validator catches gaps before engineering sees them. When you're ready, push to Jira or Linear, or hand off to coding agents.

    ENG-412Faceted search filters
    ENG-413Sort by relevance

    Pushed to Linear

0

autonomous agents working for you

0%

of claims cited or flagged

0

blank-page specs to write

Built for PMs who ship, not PMs who write.

Good fit

  • You spend more time assembling docs than making decisions.
  • Your team uses AI coding tools and needs better inputs.
  • You ship weekly and can’t afford building the wrong thing.
  • You want customer evidence behind every feature, not gut feel.

Not a fit

  • You prefer to figure requirements out in code.
  • Your team doesn’t have a PM or product function.
  • You’re happy writing specs from scratch every time.

Better to know now than three weeks in.

Stop writing specs. Start making decisions.

purpal is launching soon. Join the waitlist to be among the first PMs with an autonomous product team.

Free to start · No credit card · Early access rolling out now