Enterpret

Your voice of customer just got a whole lot easier to access. Enterpret Wisdom is now live on the Claude MCP Connectors Directory. Connect → Query → Get answers instantly. #VoiceOfCustomer #MCP #CustomerFeedback

Your users are telling you what broke right now. Just not in your support queue. A bug shows up on X an hour after a release. A Reddit thread asks if anyone else is stuck. A one-star review names the version. Enterpret hears it as it happens and turns it into work for the product and engineering team that owns it. A Slack alert. A Linear ticket with the posts cited. An answer in Claude when you just need to know. Today we're adding a library of Social Listening templates, so those teams can start from a working automation instead of a blank page. See how product and engineering teams are using it → enterpret.com/blog/real-time…

Picking a personal agent? Ask the people who use them. We analyzed 218,149 public posts from 132,844 users across Reddit, X, YouTube and the app stores, and ranked nine personal agents from @AIatMeta, @OpenAI, @GeminiApp, @SpaceX, @NousResearch and others on what users actually say. Meta’s Muse leads overall, with the highest customer love on 22 of 53 criteria. And when people compare Hermes Agent and OpenClaw directly, 83% of those who pick a side choose Hermes. But the best one for you depends on what you need. Want an allowance that lasts? Users rate Muse best. Want to choose your own model? That’s Hermes Agent. Want agents that work as a team? Grok Bot. Rankings update every week. Find yours at feedbackbench.com

Quality Monitor started as a spike detector. It showed you where to look, and someone on your team still had to work out whether the issue was real. Today it runs on Enterpret Agent, which investigates every possible issue before it reaches you. 𝟵𝟱% 𝗳𝗲𝘄𝗲𝗿 𝗳𝗮𝗹𝘀𝗲 𝗽𝗼𝘀𝗶𝘁𝗶𝘃𝗲𝘀 in our benchmark. If an alert doesn’t hold up in the investigation, it doesn’t get sent. 𝟰𝟬% 𝗺𝗼𝗿𝗲 𝗮𝗰𝗰𝘂𝗿𝗮𝘁𝗲 𝗶𝗻𝘃𝗲𝘀𝘁𝗶𝗴𝗮𝘁𝗶𝗼𝗻𝘀 on the same benchmark. The agent reads the records, scopes the issue to the customers it affects, and names the cause. 𝗔𝗹𝗲𝗿𝘁𝘀 𝘁𝗵𝗮𝘁 𝘁𝗿𝗶𝗴𝗴𝗲𝗿 𝘄𝗼𝗿𝗸. A real issue can open a Linear or Jira ticket with the customers’ own words attached, or page on-call in PagerDuty. It’s live today for every Enterpret customer. Read how it works in the comments. See how it works → enterpret.com/blog/enterpret…

OpenCode ranks #1 of 12 AI coding agents for plan value, based on real user feedback. 47 users praised pairing its $10 Go plan with frontier models: using those models for planning and review, while OpenCode handles routine coding. New analysis from @feedbackbench, built by Enterpret 👇 feedbackbench.com/coding-age…

Cursor ranks #1 for developer control. 👀 Based on real user feedback, @cursor_ai ranks 1st among 5 AI coding agents for letting developers see and approve every change. Just one of the insights we're uncovering with @feedbackbench, built by Enterpret. Explore the findings 👇 feedbackbench.com/coding-age…

Enterpret’s taxonomy adapts to your feedback. Now you can shape it just by asking. Tell Enterpret Agent what should change, review the evidence, and approve. You can even have it read your changelog every week and propose categories for what you shipped. See how it works → enterpret.com/blog/enterpret…

Benchmarks test AI in a lab. Its users test it on real work every day. So we built Feedback Bench by Enterpret, starting with coding agents. It ranks the top 17 by what the people using them say, across 63 criteria, with every number linked to its sources. Personal agents are next. See where yours lands at feedbackbench.com

Your helpdesk counts a closed ticket as resolved. Enterpret now reads the conversation and grades whether the customer was actually helped, for human and AI agents alike, then tells you what to coach and what to fix. See how Support QA works → enterpret.com/blog/enterpret…

Enterpret Agent now remembers how you work: your preferences, your earlier sessions, and what your automations did last week. Every run starts where the last one ended. On by default for every Enterpret customer, starting today. enterpret.com/blog/enterpret…

Introducing automation triggers for Escalation Shield. When Enterpret catches an account about to escalate, it can now start the work inside the tools your team already uses. Here's what's new: 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝘀𝘁𝗮𝗿𝘁𝘀 𝘁𝗵𝗲 𝘄𝗼𝗿𝗸, 𝗻𝗼𝘁 𝗮 𝗦𝗹𝗮𝗰𝗸 𝘁𝗵𝗿𝗲𝗮𝗱. An escalation fires. Enterpret Agent files the Linear or Jira issue, drafts the Zendesk reply, tags the conversation, and pages on-call if you want it to. You set it up once and it runs on every escalation that matches. This means issues can get handled in real-time instead of waiting days or even weeks for action to begin. 𝗘𝘃𝗲𝗿𝘆 𝘁𝗶𝗰𝗸𝗲𝘁 𝗮𝗿𝗿𝗶𝘃𝗲𝘀 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗰𝗼𝗻𝘁𝗲𝘅𝘁 𝗮𝘁𝘁𝗮𝗰𝗵𝗲𝗱. Enterpret is already reading every conversation your customers have, so by the time an escalation fires we know what broke, who else has run into it, and what the account is worth. That goes into the work itself, not a separate summary somewhere. Whoever picks it up next, a person or a coding agent, can start fixing instead of investigating. 𝗘𝘃𝗲𝗿𝘆 𝗿𝘂𝗻 𝗶𝘀 𝗮 𝘀𝗲𝘀𝘀𝗶𝗼𝗻 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗼𝗽𝗲𝗻. See what the agent read and what it did, for every escalation it handled. Catch escalations at the first sign, before they become a problem. Escalation Shield automation triggers are live today. enterpret.com/blog/automated…

Customer intelligence shouldn’t need to wait for someone to ask the right question or check a report. Today we’re launching Agent OS: a way to build powerful workflows and automations that turn customer feedback into action automatically ⚡ With Agent OS, teams can: ➔ Analyze feedback in real time ➔ Create shareable artifacts: reports, docs, dashboards and follow-ups ➔ Trigger automations on a schedule or when signals emerge ➔ Leverage skills, connectors, tools and memory (soon) ➔ Drive action in your other tools via native connectors: Salesforce, Jira, Linear, GitHub, Notion, Canva, Granola, Amplitude, PostHog, Slack Leverage pre-built automation templates such as: self-improving help center docs, account health monitoring for CS teams, support agent coaching notes, automated ticket creation, and more. Our goal is simple: help teams notice critical feedback - and more easily act on it. Available in beta now to all Enterpret customers - reach out if you’d like to learn more! enterpret.com/blog/introduci…

The Enterpret MCP server just shipped a major upgrade. It's now in Codex, plus a wider set of agents. Every answer comes back with a citation and the verbatim customer quote behind it. More queries per session, lower cost. This is customer intelligence built for agents. 🔗enterpret.com/blog/enterpret…

New launches, new bugs, pricing changes, and customer shorthand all create taxonomy drift. Our Adaptive Taxonomy already handles most of that evolution automatically, but human fine tuning and judgment calls are still required in moments of nuance. Today, we're excited to release three new capabilities that make the editing experience faster, safer and easier. What’s new: 1. Chat with your taxonomy: Simply describe a change in plain English or upload supporting context to get proposed changes to approve. 2. Quality checks before commit: Enterpret AI flags duplicates, naming conflicts, semantic overlap, and structural issues before changes go live. 3. Edit any node with guardrails: Rename, merge, split, move, create, delete, or reparent any node directly in the UI, with draft and rollback workflows now available. Our view is simple: a taxonomy that’s easier to refine gets refined more often. And the more consistently your taxonomy improves, the sharper every downstream insight becomes. Learn more: enterpret.com/blog/new-in-ad…

"Am I actually getting value out of this?" Every customer intelligence buyer eventually asks it. So we wrote down the answer — the workflows real teams run on Enterpret, by role. ⬇️enterpret.com/use-cases

Your CRM says you lost deals to "no budget" and "went dark." Your CPO asks which product gaps are costing you revenue. Everyone says something different. Nothing changes by next quarter. We built Sales Intelligence to fix that. It connects to your CRM and call data, and surfaces patterns you previously missed: true win/loss reasons, competitor presence, product gaps blocking pipeline, value props driving conversion. Ask anything and get real-time, cited answers, available via Slack, Claude, or any AI tool. This is for all the teams who want to fix what's broken: not just Sales, but also Product, RevOps, PMM and beyond. Learn more: enterpret.com/blog/introduci…

Most VoC dashboards get opened once a quarter, nodded at, and forgotten. The problem isn't the data. It's that they're built to display information, not answer questions. What a VoC dashboard should actually show (and why most fail): 👇 enterpret.com/blog/what-is-a…

Today, we're launching Enterpret, Everywhere - to bring customer intelligence directly to you within @SlackHQ and your favorite AI tools like @claudeai, @NotionHQ, @glean and more🌐 What's new: • Ask @ Enterpret in Slack in any channel or DM to get cited answers from your full feedback corpus, right in the thread • New native MCP integrations — install Enterpret in Claude, Notion, and Glean via their marketplaces • And more MCP integrations coming soon — @cursor_ai , @ChatGPTapp , @LibreChatAI , and @n8n_io Now, teams can ask questions where they already work, and get instant, grounded answers pulled from support tickets, NPS, app reviews, Gong calls, CRM, and more. No extra tools. No workflow detour. No excuses to miss the voice of your customers. Just fast, transparent answers powered by your Customer Context Graph. Read more: enterpret.com/blog/enterpret… #CustomerIntelligence #VoiceOfCustomer #Slack #Claude #Notion #Glean #AI #CustomerFeedback