Great conversation with @SierraPlatform’s Head Of Product @ZackRW on the Max Agency podcast.
▶️ YouTube: https://youtu.be/uCKhOmth2ms
🎧 Apple: https://podcasts.apple.com/nz/podcast/the-best-ai-agents-are-simpler-than-you-think-zack/id1891551672?i=1000773278465
🎧 Spotify: https://open.spotify.com/episode/2jWGobitRmBQUygBiVhD2c?si=c1bded05fc374161
Users agree simpler AI agents are preferable because latency and cost control at scale are the main undiscussed bottlenecks.
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#698
@Kio_yashi @LangChain @hwchase17 @ZackRW This! Exactly what I've been thinking. Latency and cost control at scale is the real bottleneck nobody talks about enough 🔥
🎧 Brand new Max Agency with @hwchase17 + @ZackRW
Great conversation with @SierraPlatform’s Head Of Product @ZackRW on the Max Agency podcast.
▶️ YouTube: https://youtu.be/uCKhOmth2ms
🎧 Apple: https://podcasts.apple.com/nz/podcast/the-best-ai-agents-are-simpler-than-you-think-zack/id1891551672?i=1000773278465
🎧 Spotify: https://open.spotify.com/episode/2jWGobitRmBQUygBiVhD2c?si=c1bded05fc374161
@LangChain @hwchase17 @ZackRW The real challenge with agent architectures? It's not the prompt engineering—it's keeping latency and costs predictable at scale. Curious how Sierra handles this in production.
@LangChain @hwchase17 @ZackRW interesting lineup for the pod, curious how max agency frames agent vs platform play
@hwchase17 @SierraPlatform @ZackRW Always interesting to hear how SaaS-native AI teams think about integrating with enterprise data workflows. How does Sierra approach latency vs. accuracy trade-offs in production?
