How OpenAI Puts ChatGPT to Work | DevDay 2026
OpenAI demonstrated how its teams are leveraging ChatGPT as an 'agentic teammate' to automate complex, time-consuming tasks across product launches, competitive research, and knowledge management. The core concept is 'ChatGPT work,' where users hand off responsibilities to the AI, allowing human experts to focus on high-level strategy, decision-making, and creative work. Key tools introduced include ChatGPT Spaces for collaborative research and Dots for continuous, autonomous monitoring.
Key takeaways
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ChatGPT as an Agentic Teammate
0:02
ChatGPT work is positioned as an agentic teammate that takes on ongoing tasks, allowing users to hand off day-to-day work to free up time for novel ideas or strategic projects. (0:02) (0:04)
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Automating Monitoring and Reporting
2:00
For developer social monitoring (Dani), ChatGPT can monitor social feeds and aggregate engagement metrics into a live report, eliminating hours of manual scrolling and data collection. (1:20)
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Scaling Competitive Research
2:10
Competitive research (Adrian) can be scaled by putting the full research methodology into a plugin. This allows the AI to investigate patterns, challenge findings, and analyze large datasets (e.g., 90 days of sales call transcripts) without constant human intervention. (2:10)
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Centralized Knowledge Management
3:30
Knowledge bases (Casey) can be maintained and fed into coaching sites by having agents contribute research and meeting notes to a shared page, ensuring consistent style and up-to-date information. (3:30)