"Extreme ownership" is one of six values we live by at HappyRobot. A crucial one if you want to build something that matters.
We asked the team what it means to them - in their own words. 👀
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HappyRobot
165 posts
HappyRobot
@HappyRobot
Achieving Enterprise Superintelligence by putting agents to work.
linkedin.com/company/happyr…
- Thousands of agent interactions. A system that gets richer with every one. With Context, every part of your operation is mapped as a connected entity and agents write structured intelligence back to it with every interaction, so the next agent action always starts smarter than
00:00 - Context is what separates an agent that reacts from one that resolves. Every agent action generates data that lives in Context, which in turn improves the next agent action - and this intelligence compounds over time. Data extraction. Entity mapping. Memory. A standalone agent
00:00 - New job title coming to logistics: AI workforce manager. @DHLsupplychain's team used to call this "soul-crushing work." HappyRobot agents do it now - so their team can focus on what actually matters. Read more more in @TransportTopics' 2026 Top 100👇
- How do you test an AI agent in a language you don't speak? Adversarial agents - another AI trained to be the most difficult customer imaginable. Our FDE Álvaro Le Monnier explains how we made it work in Swedish 👇
00:00 - Today, the world kicks off the World Cup. And so do we. We're excited to announce the opening of HappyRobot's Mexico City office! 🇲🇽 This is our seventh office, following San Francisco, Madrid, Barcelona, Chicago, Sydney, and New York City. Game on, CDMX! ⚽
- Your agent should meet its adversary before it meets your customers or partners. Introducing Adversarial Agents: AI-powered mock users that try to break your agent by simulating hypothetical hostile scenarios to cover all possible 'unhappy' paths. Prompt injection. Topic
00:00 - An agent that works ≠ an agent you can trust. HappyRobot built 3 layers to close that gap: Northstars, pre-deployment tests, and production audits. All in the same platform as your agents, so every correction instantly feeds back into the system and makes it smarter for next
00:00 - "This is gonna be the best experience of your life." That's how Carlos Vereterra describes working at HappyRobot.
00:00Replying to @HappyRobotWe've come together from across the world, not just for the ambition of the problems we solve, but for the standard we hold ourselves to while solving them. You have to be prepared to work very hard. The people here are sharp. The pace doesn't let up.Ownership doesn't stop at the edge of your role. The standard for what "done" means is high. For someone who's been waiting for that kind of environment, that's not a warning. That's the pitch. "Trains like this don't pass many times in life." We here hiring: - HappyRobot has been famous for our voice experience for a long time. You want to know our secret? We have always built for the limiting factor - solving for the incremental details that determine whether a voice, an agent, can actually have a natural conversation.
00:00Replying to @HappyRobotToday we're launching the HappyRobot TTS model - putting the voice in our voice stack. The HappyRobot TTS solves critical limiting factors in deploying voices into the real world like latency and pronunciation of characters and numbers that need to be clearly understood.If you're a HappyRobot customer, you're already using HappyRobot voices that can laugh, cough, sigh, clear their throat, and speak in multiple languages. And more - working seamlessly with additional models in our voice stack, they navigate pauses, filler words, backchannels, - It all starts with agents - the core of the HappyRobot platform. Agents handle coordination and communication across complex workflows and earn operational context with every interaction.
00:00Workflows are omni-channel, can be inbound or outbound, and are built with three foundational elements: - A prompt that guides operating procedure and behavior - AI tools like document scanning with OCR and browser agents that let agents interact with the real world -Agents are both acting on data and, with every interaction, generate memory, success metrics, and critical parameters extracted from transcripts. All new operational knowledge that couldn't exist in any other way. That generated context feeds back into every future action, - HappyRobot reposted
In 24 months, @HappyRobot went from a cold start to serving nine of the top ten freight brokers in the U.S. They now manage millions of interactions monthly across 80+ countries and many more verticals (telco, energy, insurance, + more) What B2B AI cos can learn from this 👇
