In this episode, I spoke with Matt Carey, founding AI engineer at StackOne, founder of AI Demo Days and member of the OpenUK AI Advisory Board. Everyone needs a friend who works in AI to help them filter the AI news and get the signals from the noise. Matt is that friend for me! We discussed AI agents, MCP, and the challenges of AI benchmarks, which help explain the disconnect between the benchmark results and the anecdotal experiences of AI users, such as myself. Links from the episode: Goog...
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In this episode, I spoke with Matt Carey, founding AI engineer at StackOne, founder of AI Demo Days and member of the OpenUK AI Advisory Board. Everyone needs a friend who works in AI to help them filter the AI news and get the signals from the noise. Matt is that friend for me! We discussed AI agents, MCP, and the challenges of AI benchmarks, which help explain the disconnect between the benchmark results and the anecdotal experiences of AI users, such as myself. Links from the episode: Goog...
#96: How Fathom saved $100k/year in their AWS bill
Real World Serverless with theburningmonk
59 minutes
1 year ago
#96: How Fathom saved $100k/year in their AWS bill
In this episode, I spoke with Jack Ellis, who is a co-founder of Fathom. We into the cost optimizations that he used to save Fathom $100k/year on their AWS bill. Links from the episode: Fathom's technical blogJack's personal pageJack's newsletter Opening theme song: Cheery Monday by Kevin MacLeod Link: https://incompetech.filmmusic.io/song/3495-cheery-monday License: http://creativecommons.org/licenses/by/4.0
Real World Serverless with theburningmonk
In this episode, I spoke with Matt Carey, founding AI engineer at StackOne, founder of AI Demo Days and member of the OpenUK AI Advisory Board. Everyone needs a friend who works in AI to help them filter the AI news and get the signals from the noise. Matt is that friend for me! We discussed AI agents, MCP, and the challenges of AI benchmarks, which help explain the disconnect between the benchmark results and the anecdotal experiences of AI users, such as myself. Links from the episode: Goog...
