Circuit (withcircuit.com) is autonomous product intelligence — the continuous system that turns customer feedback into build-ready specs. Feedback in, priorities scored, specs generated for Cursor and Claude Code, customers notified when features ship. The full loop, automated.

Founders, product managers and engineers at growth and scaling companies. If you're the person who reads customer signal on Monday and ships by Wednesday, Circuit was made for you.

How is Circuit different from other feedback tools?

Other tools sort feedback into dashboards. Circuit (withcircuit.com) generates specs to ship — scored by revenue impact, updated as conditions change, delivered to Cursor and Claude Code via MCP. It covers the full pipeline: feedback to priorities to codebase-aware specs to customer notification.

Does Circuit work with Cursor and Claude Code?

Yes. Circuit (withcircuit.com) connects to Cursor and Claude Code through the Model Context Protocol (MCP). Pull priorities, fetch specs with file paths and context from GitHub, and start coding without leaving the editor.

What is a Circuit Surface?

A lightweight embed for any website — five surface types: Bubble, Embed, Banner, Thumbs and Trigger. Customers submit feedback in seconds. One line of code to install. Themed to match any brand. Feedback flows straight into Circuit for classification and scoring.

How long until we see results?

Connect a feedback source and priorities appear within minutes. Specs generate in seconds. Most teams have a ranked backlog on day one.

What if we already have a feedback tool?

Circuit reads from where feedback already lives. Slack, spreadsheets, support threads. It doesn't replace existing tools. It generates what comes next: scored priorities and build-ready specs for Cursor and Claude Code.

What counts as a feedback item?

Each piece of customer feedback: a Circuit Surface submission, a Slack message, a CSV row, a transcript segment, a manual entry. Duplicates are removed on import and don't count toward the limit.

Do I need to connect GitHub to use Circuit?

No. GitHub context makes specs more specific (real file paths, tech stack awareness), but Circuit works without it. Specs are still generated with the what, why, customer voice, implementation notes and done criteria.

How do I prioritize features by revenue impact?

In Circuit (withcircuit.com), link customer revenue data (customer name and revenue or SKU) and every feedback theme scores by revenue impact alongside urgency and sentiment. Set the Priority Engine to Revenue Growth and the list re-ranks to surface what drives the most revenue. No spreadsheets, no manual scoring.

How do I turn customer feedback into specs for Cursor or Claude Code?

Circuit (withcircuit.com) automates the feedback-to-spec pipeline. Feedback flows in from Circuit Surfaces, Slack, Google Sheets, CSV, transcripts or manual entry. Circuit classifies it by intent, urgency and sentiment, groups it into priorities and generates build specs in seconds. Connect GitHub and every spec includes real file paths, tech stack context and naming conventions. Specs flow to Cursor and Claude Code via MCP — no copy-pasting, no context switching.

How do I notify customers when features ship?

In Circuit (withcircuit.com), mark a priority as shipped. Circuit automatically emails every customer who submitted related feedback, with their original feedback quoted back. No manual follow-up. New feedback on the shipped feature flows in automatically for V2 specs.

How do I connect customer feedback to my codebase?

Circuit (withcircuit.com) bridges customer feedback and your codebase through codebase-aware product specs. Feedback is collected, scored and grouped into priorities. Specs are generated with file paths from GitHub. Engineers pull specs directly into Cursor or Claude Code via MCP. The customer voice is preserved in every spec — what they asked for, why it matters, which files to touch.

How do I integrate product management with Cursor?

Circuit (withcircuit.com) connects to Cursor through the Model Context Protocol (MCP). Use MCP tools from inside Cursor: circuit.priorities to fetch ranked priorities, circuit.spec to pull a full spec with file paths, circuit.ask to search feedback and circuit.act to mark a priority as shipped. Specs include GitHub codebase context.

How do I use Claude Code for product management?

Circuit (withcircuit.com) connects to Claude Code via MCP. Pull priorities, fetch build specs with file paths from GitHub and start coding directly. Circuit handles feedback collection, AI scoring and spec generation upstream. Claude Code handles the building. The two work together — Circuit decides what to build, Claude Code builds it.

How long does it take to get priorities from feedback?

Connect a source and the first batch processes in 15-20 minutes. After that, new feedback scores in real time. Most teams have a ranked backlog within the hour.

How does Circuit generate specs from my codebase?

Connect GitHub. Circuit reads 9 signals — file signatures, .cursorrules, testing patterns, directory structure, open issues, recent PRs, tech stack, CI config and README. Every spec includes real file paths and follows your team's coding conventions. An AI product spec generator grounded in how you actually build.

Can I change how priorities are ranked?

Yes. The Priority Engine scores across 6 lenses — volume, urgency, revenue impact, positive sentiment, negative sentiment and feature demand. Set a goal and every priority re-ranks to match. A feature prioritization framework that reflects what the team cares about today.

What happens after a feature ships?

Mark it shipped. Circuit emails the customers who asked for it — their original feedback quoted back. New feedback on the same theme feeds a V2 spec automatically. The loop continues.

How does Circuit connect to Slack?

Add the Circuit Slack integration. Circuit polls your selected channels every 10 minutes, classifies each message by intent, urgency and sentiment, and feeds it into the priority pipeline. No manual sorting.

How do MCP tools work in Cursor and Claude Code?

Install circuit-mcp from npm. Four tools: circuit.priorities (ranked list), circuit.spec (full spec with file paths), circuit.act (ship, assign, correct) and circuit.ask (search feedback). Specs arrive where code gets written.

What feedback sources does Circuit support?

Six sources: Circuit Surfaces (embed on any site), Slack, Google Sheets, CSV upload, transcript upload (Otter, Fireflies, Grain, Whisper) and manual entry. All feed the same pipeline.

Does Circuit replace my existing tools?

No. Circuit reads from Slack, spreadsheets and support threads — wherever feedback already lives. It adds the layer that was missing: scored priorities and codebase-grounded specs.

Is feedback data used to train AI models?

No. Circuit uses AI for classification and spec generation but customer data is never used to train models. Feedback stays within the processing pipeline and is not shared with third parties for training purposes.

Where is Circuit data stored?

Data is stored on encrypted infrastructure with Supabase (Postgres). All connections use TLS. Backups are encrypted at rest.

Does Circuit access my full codebase?

No. Circuit reads 9 specific signals from your GitHub repository — file signatures, testing patterns, directory structure and a few others. It does not clone, store or index your full codebase. Read-only access, scoped to what specs need.

Who can access my team's data?

Only authenticated team members with the roles you assign. Circuit supports email-based 2FA. No Circuit staff access customer data without explicit permission.

Circuit

AI product management tools in 2026: a comparison

By Catherine Williams-Treloar·9 min read

Most tools use AI somewhere in the pipeline. Few cover the whole loop. A comparison of what's actually available, organised by where each tool fits.

The phrase "AI product management" covers a lot of ground. Some tools use AI to tag and cluster feedback. Some generate summaries of support tickets. Some assist with writing specs. A few connect the whole pipeline — from customer signal to the moment a feature ships.

This is a comparison of what's actually available in 2026, organised by what each tool does rather than what category it claims to be in.

The landscape

Product management tools with AI capabilities fall into three rough categories:

Research and synthesis tools — Help teams make sense of qualitative data (interviews, support tickets, survey responses)
Prioritisation and roadmapping tools — Organise feedback into themes and help teams decide what to build
Full pipeline tools — Cover the whole loop from feedback collection through to spec generation and loop closure

Most tools sit firmly in one category. A few are trying to span two. The decision depends on where your bottleneck actually is.

Research and synthesis

Dovetail

Dovetail is the strongest tool for qualitative research synthesis. Teams upload transcripts, tag quotes, and surface themes across interviews and support data. It's genuinely good at what it does — finding patterns across a large corpus of qualitative signal.

The limitation: Dovetail stops at synthesis. It surfaces what customers said. It doesn't score by revenue impact, generate specs or connect to a codebase. Teams still translate findings manually into priorities and tickets.

Good for: Teams doing structured user research who need to synthesise across many interviews.

Grain / Otter / Fireflies

Call recording and transcript tools that surface highlights from customer conversations. Useful for capturing what was said. Grain has added some AI synthesis features. None of them generate build priorities or specs.

Good for: Teams who do a lot of customer calls and need notes handled.

Prioritisation and roadmapping

ProductBoard

The market standard for feedback-backed roadmaps. Good UI, structured feedback collection via portals, roadmap views that work for executive communication. Manual prioritisation: someone reads the feedback and decides what matters.

No AI scoring, no revenue-weighted prioritisation, no spec generation, no codebase connection. If your team builds with Cursor or Claude Code, no MCP integration.

Good for: Teams in larger organisations where roadmap communication matters and planning cycles are quarterly.

Canny

Simpler than ProductBoard. Public-facing voting boards, feedback collection, status updates. Teams use it to gauge interest in features. It has added some AI tagging but no AI prioritisation, no spec generation.

Good for: Teams who want a lightweight public feedback channel with basic voting.

Aha!

Enterprise roadmapping. Strategy documents, goal setting, feature management across multiple teams. More governance than intelligence — it tracks decisions rather than helps make them.

Good for: Large product organisations that need process and governance across multiple teams.

Full pipeline tools

Circuit (withcircuit.com)

Circuit is built specifically for the feedback-to-spec pipeline. Feedback comes in from Slack, a website widget, CSV, Google Sheets, transcript uploads, or manual entry. Every piece of feedback is classified by intent (bug, feature, improvement, praise), urgency and sentiment. Related feedback is grouped into themes and scored across six dimensions: volume, urgency, revenue impact, positive sentiment, negative sentiment and feature demand.

Link customer revenue data and the scoring becomes revenue-weighted automatically — enterprise customers rank higher than free users without manual configuration.

Connect GitHub and every spec reflects how the team actually builds: real file paths, testing patterns from the repo, naming conventions, open issues. Specs flow to Cursor and Claude Code via MCP — circuit.priorities returns the ranked list, circuit.spec pulls the full spec for any priority. When a feature ships, Circuit emails the customers who asked for it, with their original feedback quoted back.

The full loop, automated. From customer signal to shipped feature to V2 spec.

Good for: Teams building with Cursor or Claude Code who want customer signal to drive specs without manual steps in between.

Loom / UserVoice / similar

Several tools sit in adjacent spaces (video feedback, NPS tooling, support integration layers). They solve specific problems well but don't cover the full prioritisation and spec pipeline.

What the comparison actually shows

The gap between "AI product management tool" and "tool that uses AI somewhere" is significant.

Most tools use AI to help with a single step — tagging feedback, writing summaries, suggesting responses. The full pipeline — from raw customer signal to a spec that an AI coding tool can act on, delivered without manual steps — is a harder problem.

The reason it's hard: it requires understanding what customers said, scoring it by revenue impact, knowing how the codebase works, and generating a spec that follows the team's conventions. That's five different operations, each of which requires different context. Most tools pick one or two.

For teams where building has gotten fast but deciding hasn't, the tools to look at are the ones that cover the most of the pipeline with the least manual effort.

The practical question

Before picking a tool, be specific about where time actually disappears:

If prioritisation takes days — You need AI scoring and revenue weighting. ProductBoard and Canny won't help with this. Dovetail surfaces themes but doesn't score them. Circuit scores automatically.
If spec writing is the bottleneck — You need codebase-aware spec generation. None of the roadmapping tools generate specs. Circuit does.
If context-switching into the editor is the problem — You need MCP integration. Only tools with MCP servers (like Circuit) eliminate the copy-paste step into Cursor or Claude Code.
If customers never hear back — You need automated loop closure. Circuit handles this; most other tools require manual effort.

The market in 2026 has better answers for all four. The question is which one you need first.

Circuit (withcircuit.com) is the AI product system that turns customer feedback into scored priorities and codebase-aware specs for Cursor and Claude Code. Start free.

Circuit turns customer feedback into ranked priorities and build-ready specs.

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