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Context is king for AI agents. Which means that there’s going to be a huge premium for the individuals, teams, and companies that are able to best design systems to give agents the best context to do their work. Knowledge work has always been a relatively messy space. If you go…
MCP is now the de facto standard for LLM agents 200 developers came to NYC to compete for $10,000+ and prove what’s possible. Here’s what we saw at the Build the Future MCP Hackathon (🧵):
Increasingly finding that Claude is just much better than ChatGPT but I much much prefer the ChatGPT product/design (especially canvas). I’d love an AI native word processor with version control and sharing features where I can choose the model. This should be google docs.
🛠️ @isaac_flath's productivity system EXPOSED 😲 ⚡ UV scripts + Just files + AI agents = instant content generation 🤔 Simple beats complex. Personal beats universal. Speed beats perfection. 👇 elite-ai-assisted-coding.dev/p/isaac-person…
@garyfung Yeah I think over time tooling ends up being the UI between multiple models and the human (e.g. tab, apply, cli, etc. )
AI Agent division of labor will be critical for maximizing the impact of agents. We've long had a division of labor in organizations because having individual experts handing off tasks to each other is more effective than a bunch of generalists trying to do things a different…
💯 Human : AI interactions need new tooling!
💯 Human : AI interactions need new tooling!
Don’t let your employees use consumer LLMs at work.
Don’t let your employees use consumer LLMs at work.
I'm making a list of all the non-coding things people are doing with Claude Code. What are you using Claude Code for?
Human-assisted with AI, not agents.
Humans will be orchestrators.
All this, plus setting the right context!
Tired: Using “AI” to cheat on your job. Wired: Using AI to get promoted. Companies need to build institutional knowledge on AI use.
Tired: Using “AI” to cheat on your job. Wired: Using AI to get promoted. Companies need to build institutional knowledge on AI use.
Companies need to be able to manage this new era of middle-to-middle AI work at scale.
Companies need to be able to manage this new era of middle-to-middle AI work at scale.
We just released major AI updates at Box: an enhanced data extraction AI Agent for better accuracy on complicated documents, the beta of our remote MCP server to integrate with any AI system, and major updates to the Box AI Studio for building custom agents in Box.
We just released major AI updates at Box: an enhanced data extraction AI Agent for better accuracy on complicated documents, the beta of our remote MCP server to integrate with any AI system, and major updates to the Box AI Studio for building custom agents in Box.
A lot of buyers for large organizations don't realize that there are only a few good LLMs out there and that everyone selling them an specialized AI solution is basically building tools & prompts around one of just a few AI systems and then giving it some impressive-seeming name.
A big part of software in the future will be tools that maximize the user’s ability to manage AI Agents and their tasks. No matter how good AI Agents get, there’s going to be a long tail of work required to plan, review, orchestrate, and incorporate what they deliver.
A big part of software in the future will be tools that maximize the user’s ability to manage AI Agents and their tasks. No matter how good AI Agents get, there’s going to be a long tail of work required to plan, review, orchestrate, and incorporate what they deliver.
Humans are being given superpowers. A superpowered human is worth more than one without.
Humans are being given superpowers. A superpowered human is worth more than one without.
Humans -> Supervisors + Orchestrators
An example of why I think current LLMs are enough to change lots of work even if they don’t get better, once we start integrating them with other systems GPT-4 (now obsolete) went from 30% accuracy to 87% accuracy in clinical oncology decisions when given access to medical tools
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