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Epsisode
7
The explosion of apps being built on Generative AI is creating some interesting trends regarding usage tracking and the analytical needs of the companies building these apps. Token usage costs money; therefore, it must be tracked and part of the product experience. Dave Ganly, Head of Product at Propel (full disclosure I'm a co-founder), has been spending a lot of time with the developers at the forefront of building on top of the new gold rush that is ChatGPT, Bard, Anthropic, etc. As these LLM apps gain traction, companies are forced into a build versus-buy situation to track usage and provide the analytics needed for their products. Dave provides some valuable insights into the type of metrics, the difficulty in engineering solutions to track them, and how Propel's data application platform can help accelerate their user-facing dashboards, log interfaces, and in-product metrics for their LLM-based apps. If you're interested, join the waitlist now and start shipping 🚢 🚢 🚢 🚀 your GPT-powered products 👉 https://lnkd.in/giftTTcX
