My team builds voice and chat agents for tech troubleshooting, so I built a CLI tool called converse that lets any LLM chat with our backend endpoint and have turn-by-turn conversations. The LLM makes code changes, uses converse to test conversations against the live system, and iterates. Sometimes these self-improvement loops run for several hours on end. This is especially powerful when the outcome is verifiable: the conversation must follow this flow, or call these tools in these situations (e.g., escalation to a human agent).
Adobe has not yet announced a timeline for selecting Narayen’s successor.
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Перехват российских Ту-142 у Аляски дюжиной самолетов объяснили20:45
here’s your gold star: ⭐️ .
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