Unlocking AI Economics with Botanu: A New Paradigm for Measuring Success
As the technical founder of Botanu, I’m on a mission to redefine AI cost analysis by focusing on outcomes rather than just calls and retries. My journey began with a simple question: “What does a successful business outcome truly cost?”
Key Insights:
- Event Tracking: Each business intent (like resolving a support ticket) is represented by an event_id.
- Comprehensive Cost Analysis: We measure the total cost per outcome, including failed attempts, to give a clearer financial picture.
- Enhanced Engineering Practices: Teams can experiment with models, compare architectures, and optimize costs effortlessly.
With Botanu, we bridge the gap between engineering and business by providing insights into:
- Unit economics of AI features
- Cost per customer interaction
- Strategies for outcome-based pricing
I’m eager to hear your thoughts on measuring AI economics in production. Let’s connect and discuss! Share your insights below!
