Source details
- Original source
- Harrison Chase
- Published
- 2026-07-07
- Primary topic
- AI Agents
Why it matters
Agent products, browser agents, autonomous workflows, operator systems, and orchestration tools. This item originated as a short-form social post, so the context blocks below help expand it into tools, models, and evaluation guides.
What happened
Good blog from viv on how improving agents (via rl, harness Eng, anything) boils down to a data mining problem over traces Viv (@Vtrivedy10) Article Improving Agents is a Data Mining Problem Continual Learning, Harness Engineering, Post-Training all boil down to the same substrate: curating data at scale to run experiments & improve agents. I gave a talk about this at this year’s AI — https://nitter.net/Vtrivedy10/status/2074509344155066517#m
What to do next
Move into automation and workflow tools next so you can evaluate whether the agent story is actionable or still mostly experimental.
Good blog from viv on how improving agents (via rl, harness Eng, anything) boils down to a data mining problem over traces Viv (@Vtrivedy10) Article Improving Agents is a Data Mining Problem Continual Learning, Harness Engineering, Post-Training all boil down to the same substrate: curating data at scale to run experiments & improve agents. I gave a talk about this at this year’s AI — https://nitter.net/Vtrivedy10/status/2074509344155066517#m
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