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"PitchMonster is an AI sales role-play platform that helps revenue teams ramp reps faster, coach at scale, and prove training ROI โ without hiring more trainers or burning real pipeline on unprepared reps.
Reps practice realistic conversations with AI buyers that adapt to objections, push back, and behave like your actual ICP โ across 27+ languages and in phone, face-to-face, and screen-share modes. After every session, an AI Coach runs a Socratic debrief: it doesn't just hand over a score โ it guides each rep to their own insight, 24/7.
Managers can upload real call recordings and score them against the same playbook used in role-plays, surfacing exactly where reps won, lost, or missed. Certification flows ensure reps don't go live until they've hit a defined readiness bar.
Trusted by teams at Coupa, Adobe, Land Rover, Salesforce, Lenovo, and more. 100% enterprise renewal rate since spring 2024. 4.9 โ on G2. GDPR-compliant and the only European-based solution in the top 5. Backed by Google for Startups, Icebreaker, and Startup WiseGuys."
PitchMonster GitHubPitchMonster's answer
PitchMonster is the only AI sales role-play platform with a built-in AI Coach that debriefs reps after every session - personalized, Socratic, available 24/7. Most tools stop at the practice. We go further: reps get specific feedback on what they said, what they missed, and what to fix before the next call. We're also built for global teams - 29 languages, GDPR-native, EU-hosted, with enterprise-grade reliability.
PitchMonster's answer
Reps don't just practice - they improve. After every session, the AI Coach breaks down the conversation and tells each rep exactly what to work on next. No waiting for manager availability, no generic tips. Just specific, actionable coaching at scale. Combined with realistic AI voices, CRM integrations, and a 100% enterprise renewal rate since spring 2024, it's a platform teams actually stick with.
Based on our record, GitHub seems to be more popular. It has been mentiond 2473 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:- Source: Hacker News / 3 days agoHost *.
All of this assumes you can actually inspect what the agent did โ the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / 4 days ago
# git: the API token, plus the credential used for the push Kubectl create secret generic foreman-github \ --from-literal=GITHUB_TOKEN="$GITHUB_TOKEN" -n foreman-system Kubectl create secret generic foreman-git-credentials \ --from-literal=token="$GITHUB_TOKEN" -n foreman-system Helm upgrade foreman llmkube/foreman -n foreman-system --reuse-values \ --set agent.githubToken.secretName=foreman-github \ ... - Source: dev.to / 4 days ago
This is why eval and observability ship as a unit, not as separate purchases. agent-eval scores and gates the output โ the tiers above, drift, hallucination. AgentLens captures the trace of how the agent got there: every model step and tool call, the resolved inputs, the raw outputs, the trajectory. Two things fall out of that:. - Source: dev.to / 14 days ago
The real fragility is in trying to constrain arguments. The docs are explicit that a pattern like Bash(curl http://github.com/ *) fails to do what it looks like it does. It won't match curl -X GET http://github.com/... (option before the URL), curl https://github.com/... (different protocol), curl -L http://bit.ly/xyz (redirects to GitHub), URL=http://github.com && curl $URL (variable), or curl http://github.com... - Source: dev.to / 15 days ago
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