Agents
At @ListenLabs, agents analyze data from conversations by building their own tables — adding columns like 'user sentiment,' filling in value…
At @ListenLabs, agents analyze data from conversations by building their own tables — adding columns like 'user sentiment,' filling in values automatically, then charting the results. Co-Founder & CTO
At @ListenLabs, agents analyze data from conversations by building their own tables — adding columns like "user sentiment," filling in values automatically, then charting the results. Co-Founder & CTO @florian_jue runs through how this works on the Max Agency podcast hosted by @hwchase17. Media
Related
- Data Driven Agent Design with Evals & Hill Climbing Algorithms this is a mental model dump i’ve been thinking through + iterating on as we’r…
- 🎙️ Talked to @ListenLabs co-founder + CTO @florian_jue in the latest Max Agency. Really enjoyed hearing about the architectural decisions b…
- New Guide: Incorporating human judgment in the agent improvement loop Building agents is hard. Everyone talks about the code. What gets less…
- tldr > evals are the new training data. instead of updating weights, you're updating the agent harness > problem is agents are famous cheate…
- Round 2 for Max Agency! The Listen team know what they're doing. Check it out 👇
Source: Harrison Chase (X) | 2026-04-28