Building in the age of AI, the Evermuse Blog.
Ian Pilon (founder of VoiceClaw, former forward-deployed engineer at Input Output) and Eran Dror on the daily discovery loop AI made possible, why a test prototype should stay ugly, and why judgment still needs a human in the room.
Greg Biggers (VP Product & Design, Airship) and Eran Dror on where AI actually moved the product bottleneck: from writing code to validating the right problem, from PRDs to product briefs, and from waiting for permission to just building.
A local desktop app with its own MCP server, interactive MCP Apps UI in your AI client, imports from anywhere via add_source, a friendlier MCP-first signup, a more honest meeting pipeline, and Claude Opus 5 as the new default model.
UX is shifting from gut-feel art to measurable science. David Sternberg and Eran Dror on adaptive interfaces, why simulated users are hypotheses not evidence, and where nudging turns into manipulation.
Custom signal types you define yourself, a first-party integrations platform that syncs Slack on a schedule, a restored Customers view, in-app plan upgrades, a smoother onboarding, and sharper signal extraction.
A practical playbook for product teams to wire Claude into the tools your work actually runs on: customer sources, analytics, ticketing, scheduled tasks, and agentic memory, via MCPs, skills, and plugins.
Evermuse and CoreStory are partnering to give product and engineering teams (and their AI agents) both halves of the truth: what customers need, and how their code actually works.
A field guide to why "we'll just build this in-house" is harder than it sounds — provenance, idempotency, and verifiable citations are the parts that never show up in the demo and always show up in the incident.
Evermuse and Plane are partnering so the customer insight behind every decision travels with the work, from the first conversation all the way to shipped.
A major MCP integrations push, a new Usage page for credit transparency, a rebuilt meeting page, and a deep performance, security, and reliability pass.
Push API, document ingestion, a Projects overhaul for user researchers, smarter chat, meeting UI upgrades, unified credit metering, and major performance gains.
A practical playbook for product folks to prototype and ship real code with AI—covering tools, prompting, agents, and a safe GitHub workflow.
What happens to product craft when AI can do 80% of the work - and how to stay customer-anchored while moving at AI speed.
A practical playbook for building with AI without losing taste, trust, or craft—distilled from our webinar with Tal Florentin.
Stronger security & compliance, smarter AI + data workflows, and more scalable, reliable infrastructure.
Where AI helps, where it doesn't--and the frameworks that keep teams customer-anchored.
After six months of development based on your feedback, we're launching Evermuse v1 with powerful AI features that do the heavy lifting for product teams.
Learn how we protect your research data with strong authentication, encryption, secure development practices, and privacy-by-design principles.
Complete guide to connecting your calendar, configuring Zoom, and customizing when Evermuse should automatically join your meetings.
Learn the different ways to add meetings to Evermuse - from uploading recordings to joining live meetings automatically.
Step-by-step guide to getting started with Evermuse - from first login to getting real insights from your user sessions.
Learn how we integrated Nextra 4 into our Next.js application to create a powerful, MDX-based blog with full-text search and beautiful theming.
Complete guide to connecting Zoom with Evermuse for automatic meeting transcription and insights. Learn how to add, use, and remove the integration.
Learn how to troubleshoot and fix issues when the Evermuse bot joins your Zoom meeting but fails to record. Step-by-step guide with screenshots.
