Source details
- Original source
- Matthew Berman
- Published
- 2026-06-23
- 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
Self-improving harnesses (loops) are still rare but the team that figures it out default wins. "the team that can iterate fastest against the newest models will win" Full essay by the Google Deepmind team: briefing.forwardfuture.ai/p/… Link Build the Loop, Not the Agent: Winning AI Iteration AI agents age fast. Learn why fast evaluation loops, expert quality teams, and end-to-end iteration outperform one-time modernization. briefing.forwardfuture.ai
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.
Self-improving harnesses (loops) are still rare but the team that figures it out default wins. "the team that can iterate fastest against the newest models will win" Full essay by the Google Deepmind team: briefing.forwardfuture.ai/p/… Link Build the Loop, Not the Agent: Winning AI Iteration AI agents age fast. Learn why fast evaluation loops, expert quality teams, and end-to-end iteration outperform one-time modernization. briefing.forwardfuture.ai
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