Keywords AI (YC W24)

🤖 Just tested o1-preview and o1-mini on the Keywords AI (YC W24)'s playground Impressive output quality, but very slow processing speed. Try it yourself: https://lnkd.in/gHFiTqSH

🍓 🍓o1-preview and o1-mini are available on Keywords AI (YC W24)! O1 family is designed to spend more time thinking before they respond. They can reason through complex tasks and solve harder problems than previous models in science, coding, and math. Check it out here: https://lnkd.in/gci-9H8v

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🚀 Call 200+ LLMs with OpenAI SDK!🚀 One of the features Keywords AI (YC W24) users most love is our compatibility with OpenAI SDK. ✅ Call 200+ LLMs using the same format ✅ Support extra reliability settings ✅ Integrate within minutes

Surge in inquiries about LLM output evaluation this week. 👀 Great sign: Founders and developers are prioritizing LLM output quality over rapid app development. Why choose Keywords AI (YC W24)? Our unmatched workflow: Monitor, Debug, Evaluate, and Deploy prompts with one click.

Last week, an inbound Series A company ditched a competitor for us after one quick demo and committed to an annual subscription - it felt very good. We started Keywords AI (YC W24) a year later than most competitors building in the LLM observability game, and customers say our product outshines others in polish and functionality. 

We’re always laser focused on the product and our customers. While being good at sales helps, I believe customers will ultimately recognize the teams that prioritize product quality and user needs. The best product always wins.

A great AI App's error rate should be under 0.05% 🛑 Recently, I demoed for a developer whose ChatGPT-like app for researchers was struggling with user retention. He believed the main issue was LLM output quality, so he turned to Keywords AI (YC W24) for logging and evaluation. Monitoring revealed a shocking 14.72% error rate in a single day—far too high for user satisfaction and retention. At Keywords AI, our customers average a 0.05% error rate, which we recommend as a benchmark. We suggested three strategies that helped reduce his error rate to 4% in just two days: 1. Monitor every error log: Inspect and resolve issues on his end. Check out here: https://lnkd.in/gQV3SS7w 2. Subscribe to alerts: Get immediate notifications about errors to quickly address them. Check out here: https://lnkd.in/g2VysHh7 3. Set up fallbacks: Implement backup models to avoid upstream provider errors. Check out here: https://lnkd.in/gsiV8_gV