Two weeks ago, OpenAI released its set of tools to help developers build agentic systems. Today on Unsupervised Learning, Nikunj Handa (Product Lead) and Steve Coffey (Eng Lead) answer some of the biggest questions around how developers should be thinking about building in the agentic paradigm in 2025.
Two weeks ago, OpenAI released its set of tools to help developers build agentic systems. Today on Unsupervised Learning, Nikunj Handa (Product Lead) and Steve Coffey (Eng Lead) answer some of the biggest questions around how developers should be thinking about building in the agentic paradigm in 2025.
[0:00] Intro
[0:53] OpenAI’s Vision for Consumer Interaction
[4:51] Building Multi-Agent Systems for Business Solutions
[6:53] Challenges and Innovations in AI Fine-Tuning
[13:20] Exploring Computer Use Cases and Applications
[17:20] Advanced Use Cases and Developer Insights
[25:29] Challenges with Context Storage and Chat Completions
[26:09] Introducing the Responses API and MCP
[27:16] AI Infrastructure Companies and Their Role
[29:35] Building the Tools Ecosystem
[30:17] Exploring Computer Use Models
[31:47] The Future of AI and Developer Tools
[38:36] Quickfire
With your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint