It’s not the prompt, it’s the context. Behind every hallucination, misstep, or spiraling AI bill is a deeper problem: models drowning in irrelevant information. In this episode, we go inside real user stories, from the developer whose AI assistant forgot a critical deployment step, to the analyst who watched costs double overnight, showing how context overload sabotages accuracy and drives costs sky-high.
Then, we reveal how context engineering flips the script, turning messy inputs into lean, relevant, high-impact context that lets AI work smarter, not harder.
Information
- Show
- FrequencyUpdated Weekly
- PublishedSeptember 8, 2025 at 1:00 PM UTC
- Length7 min
- Season6
- Episode2
- RatingClean