

No slides. No canned walkthrough. We analyze your real customer feedback and generate a live spec.
We can plug in your sources via the automation platform of your choice, or analyze a sample of customer calls you provide.
Watch Evermuse turn a messy cluster of feature requests into a structured, evidence-backed spec - ready to hand to your coding agents or engineering team.
See how the finished spec flows into Cursor or Claude Code via MCP - with real customer evidence attached to every recommendation. Your agents build the right thing from day one.
Pricing, security, integrations, timeline. We'll answer everything directly. If it's not a fit, we'll tell you.
AI coding agents made engineering 10× faster. But faster building without customer clarity just means you ship the wrong thing quicker - and spend more cycles fixing it.
Cursor, Copilot, and Claude Code can write features in minutes. But they need clear, detailed specs to do it well. Vague prompts produce vague features - fast.
Feedback lives in Gong, Intercom, Slack, and support tickets. Engineering builds from whatever made it into the last standup - not the full picture of what customers need.
Your team can ship in hours, but specs still take days or weeks. The spec pipeline is the new bottleneck, and it's costing you velocity.
Without customer evidence baked into the build process, you ship features, measure outcomes, realize you missed, and rework. That cycle burns more engineering time than slow coding ever did.
Evermuse reads all your customer conversations and generates structured specs that your coding tools can actually execute on - so your team builds the right thing, fast.
Engineering waits on product to write specs. Product is buried in feedback they can't synthesize fast enough. Your fastest engineers are blocked by your slowest process.
Cursor and Claude Code generate features from whatever they're given. Thin specs produce thin features - and your team spends more time on rework than building.
Engineers make judgment calls without customer context. Decisions that should be data-driven become opinion-driven - and you find out too late.
Evermuse reads 100% of customer conversations and produces structured specs - complete with evidence, priority signals, and enough detail for coding agents to execute immediately.
Specs connect directly to Cursor, Claude Code, or Copilot via MCP. Your agents build from real customer evidence, not guesswork.
When every feature is backed by customer data, you cut rework cycles and compound engineering velocity instead of wasting it.
I'm reviewing the insights your product provided – my mind is blown! This is such a game-changer.

Shira Dassa
Product @ Yotpo
[The results are] stunningly great, in my opinion... Now I don't have to attend every client interview in person.

Erik Peterson
Head of Product @ ReSim.ai
Last month alone, we'd save 8.5 hours per team member using Evermuse.

Min Zhou
Design Lead @ OpenSea
It looks like, yes – you may have cracked this complexity.

Hadar Kaminski
Senior UX Researcher @ Redis
This is super awesome. Solves a bunch of the problems I know I have, but also ones that I'm like, I didn't know I had that problem.

Rachel Abramowitz
Founder & CEO @ Keepler
I love the system... A very big pain point this can fix right away... is having to explain to PMs how I got there.

Sarah Hillel
UX Researcher @ Pitango
Yes. We hold ourselves to the highest security standards. Evermuse is SOC 2 Type 2 compliant, has done extensive pentests, and segregates all data by tenant.
Those tools are great for manually collecting and tagging feedback. Evermuse automates this process fully but also goes further - it reads everything and generates the spec. Most teams run us alongside their existing stack. No rip-and-replace.
Evermuse connects to Cursor, Claude Code, and other AI coding agents via MCP (Model Context Protocol). When your engineers start building, the spec and its underlying customer evidence are right there in context - no copy-pasting, no context-switching.
Everything! Our single-endpoint push API can process any type of data including call recordings, text conversations, or structured data.
The minimum is 5 conversations to start, but the more conversations you have, the more accurate and comprehensive the specs will be.
Pricing is based on data processing and usage and depends on conversation volume and team size. We'll share specific tiers during the demo based on your situation.
We hear this a lot. That's exactly why we demo live with your data, not a canned walkthrough. You'll judge the output quality yourself before any commitment.
If any of these sound familiar, you'll see results fast.
Growth-stage and mid-market teams where engineering velocity has real revenue impact - and wasted cycles are expensive.
Your team runs Cursor, Copilot, or Claude Code. The coding is fast. The specs feeding those tools need to be just as good.
Engineering capacity isn't the constraint anymore. Knowing what to build - with enough detail and evidence - is.
Speed without direction compounds waste. You want every feature built from real customer evidence so it's right the first time.
Not there yet? Reach out anyway - we're happy to chat about where you're headed.
Give your AI coding tools the customer clarity they need.
Book a 30-Minute DemoWe'll show you the output quality on day one - no pilot required to see it work.