PodcastReal World AI Agent StoriesClaimNearpod began using agents to generate questions for teachers and reduce the time teachers spend creating them.12:42
Threads / Paying for it / 2025
Paying for it in 2025
14 sessions
PodcastReal World AI Agent Stories
PodcastThe Agent Landscape - Lessons Learned Putting Agents Into ProductionPushed backThe speakers reject the idea that declining cost per token automatically means that agent systems are becoming cheaper overall, because cost per answer can rise as agents use more tokens and calls.21:33
PodcastStreaming Ecosystem Complexities and Cost ManagementClaimOrganizations often struggle to provide different freshness and latency levels for different use cases while controlling infrastructure costs.7:04
How Agents Changed Vibe Coding ForeverPushed backBeyang Liu argues against keeping coding-agent costs low as the primary goal when higher costs save substantial human labor.33:37
Smart Agents Start with Smart LLM ChoicesClaimFor code understanding, a useful model should produce concise, accurate, low-latency, and cost-effective answers.3:58
Advancing the Cost-Quality Frontier in Agentic AIClaimKrista Opsahl-Ong works on productionizing agents for enterprises at Databricks and on improving the cost-quality frontier.0:00
Cutting Costs with Artificial IntelligenceClaimMulti-agent systems make cost tracking harder because agents communicate with one another and with users while input and output sizes vary.0:52
Reading groupSmall Language Models are the Future of Agentic AIPushed backNehil Jain disputes the idea that smaller models are always cheaper by pointing to endpoint utilization, talent, and management costs.29:26
The Future of Compute: How AI Agents Are Reshaping InfrastructureClaimAgentic workflows consume resources according to task complexity rather than simply clock time, which affects cost, timing, and downstream compute.8:05
AI Needs Memory: Here's How It WorksClaimStoring an entire conversation can be economically and computationally costly, so agents need to be selective about what they retain.9:48
The Cost of AI: FinOps Strategies for Intelligent AgentsClaimAdvait Patel says autonomous AI agents are not necessarily optimized and can increase cloud costs when deployed incorrectly.2:26
How to Optimize AI Agents in ProductionPushed backNimrod disputes the idea that the model alone determines accuracy, arguing that configuration choices can produce better accuracy-cost tradeoffs.10:54
What It Takes to Run Multi-Agent SystemsClaimCost and privacy and security concerns are the two main roadblocks preventing enterprises from scaling AI.3:37