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Organizations are rapidly expanding their use of AI, but access is outpacing workforce capability. Research from Google and Ipsos found that while 40% of employees use AI at work, only 5% are truly AI fluent. Giving employees AI tools doesn't mean they know when to use them, how to evaluate their output, or where human decision-making must still lead. Addressing that gap requires organizations to treat AI fluency as a workforce capability and ultimately as part of the operating model. It is not…
<p>Picture this scenario: An Anthropic Skill scanner runs a full analysis of a Skill pulled from ClawHub or skills.sh. Its markdown instructions are clean, and no prompt injection is detected. N [...]
<p>One major challenge in deploying autonomous agents is building systems that can adapt to changes in their environments without the need to retrain the underlying large language models (LLMs). [...]
<p>As enterprise AI systems scale to handle complex workflows, practitioners face the challenge of routing subtasks to the right tools and skills. Agents can have hundreds of tools and skills an [...]