In this episode, we talk with Aaron Jorgensen about how JobHive came to life - starting as a small résumé-parsing experiment and gradually growing into a structured, AI-supported interview workflow. Aaron explains how the system handles voice capture, transcription, prompts, and AI avatars, and why he moved toward a multi-agent approach instead of relying on one model to do everything. We dig into what “fair scoring” actually means, how cross-checking evaluators and confidence levels work, an...
All content for Pybites Podcast is the property of Julian Sequeira & Bob Belderbos and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
In this episode, we talk with Aaron Jorgensen about how JobHive came to life - starting as a small résumé-parsing experiment and gradually growing into a structured, AI-supported interview workflow. Aaron explains how the system handles voice capture, transcription, prompts, and AI avatars, and why he moved toward a multi-agent approach instead of relying on one model to do everything. We dig into what “fair scoring” actually means, how cross-checking evaluators and confidence levels work, an...
#190: The power shift - Flexa’s data-driven energy revolution
Pybites Podcast
33 minutes
8 months ago
#190: The power shift - Flexa’s data-driven energy revolution
What if you could tap into a more affordable and efficient energy system, all while supporting grid stability? Tune in to our fascinating conversation with Robin Beer, energy data scientist at Flexa, a startup revolutionising the way we consume electricity. Robin shares the process of creating a virtual power plant that enables consumers to utilise solar and battery resources while strategically managing when to buy and sell electricity based on market conditions and weather forecasts. ...
Pybites Podcast
In this episode, we talk with Aaron Jorgensen about how JobHive came to life - starting as a small résumé-parsing experiment and gradually growing into a structured, AI-supported interview workflow. Aaron explains how the system handles voice capture, transcription, prompts, and AI avatars, and why he moved toward a multi-agent approach instead of relying on one model to do everything. We dig into what “fair scoring” actually means, how cross-checking evaluators and confidence levels work, an...
