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2026-09-20 MEDSPA☾ PM

Insilico Opens Longevity Claw. It Runs Multi-Step Research Alone. The Agent Paradigm, Obviously.

Insilico Medicine, a clinical-stage biotech company listed on HKEX as 3696, published a Cell cover study releasing three interconnected resources for the global scientific community. The flagship tool, Longevity Claw, goes beyond a conventional chatbot by formulating and executing multi-step research workflows, using specialized analytical tools, evaluating intermediate findings, and assembling evidence for candidate biological targets. The package also includes comprehensive benchmarks for evaluating foundation models across all drug discovery tasks.

This demonstrates the principle of agentic AI over conversational AI. The mechanism is workflow delegation. Rather than answering single queries, the system holds an objective in working memory, selects tools, evaluates intermediate results, and iterates. That is the mental model readers should internalize. The future of AI assistance is not a smarter search box. It is a system that completes a task end to end while you supervise.

Insilico Medicine, a generative AI-powered biotechnology company, published the work as a Cell cover study on September 17, 2026. The company is clinical-stage and publicly listed on the Hong Kong Stock Exchange.

  1. Open a consumer AI agent like ChatGPT or Claude and give it a multi-step objective, not a single question. For example, ask it to research a wellness topic, evaluate three sources, summarize findings, and draft a one-page report. Expected outcome: the AI breaks the task into subtasks and executes them sequentially.
  2. Watch how it handles intermediate results. Does it adjust its approach based on what it finds? Note where it succeeds and where it stalls. Expected outcome: you observe agentic behavior in miniature, the same paradigm Longevity Claw uses for drug discovery.
  3. Refine your prompt to require tool use, such as web search plus document analysis plus summarization. Expected outcome: you experience the difference between a chatbot that answers and an agent that works.
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