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Muratcan Koylan
Sully.ai
12.9K posts
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Muratcan Koylan

Sully.ai
@muratcan
MTS, AI Research @sullyai Building AI medical workforce Prev/ AI Persona Development @ 99Ravens
Toronto, Canada 🇨🇦
muratcankoylan.com/for-agents/
Joined December 2022
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  • Pinned
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    Muratcan Koylan
    Sully.ai
    @muratcan
    Dec 21, 2025
    I’m excited to share a new repo: Agent Skills for Context Engineering Instead of just offering a library of black-box tools, it acts as a "Meta-Agent" knowledge base. It provides a standard set of skills, written in markdown and code, that you can feed to an agent so it
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    user avatar
    Muratcan Koylan
    Sully.ai
    @muratcan
    Dec 21, 2025
    It’s actually a good question; the difference is subtle but structural. I usually frame it like this: AGENTS[.]md acts as the declarative context. You write this for every repo (and nested directories) to define the project structure, persona, and coding rules. Skills are the
  • user avatar
    Muratcan Koylan
    Sully.ai
    @muratcan
    3h
    There is a deep convergence between human persuasion and LLMs. Because LLMs are trained on human text, Cialdini’s principles of influence are not just applicable but inherently valid for human-to-human and human-to-agent interactions, as well as inter-agent communication. A
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    user avatar
    ʞɔɐ𝘡
    @Skoorbkaz
    Aug 17
    🚨 BREAKING REPORT: New research involving @AnthropicAI researcher Jack Lindsey and collaborators has demonstrated something straight out of science fiction. Researchers evolved natural language “mind viruses” that could spread between AI agents by convincing one model to
  • user avatar
    Muratcan Koylan
    Sully.ai
    @muratcan
    Aug 10
    Finally acquired a 3D printer I need to know how people are actually using agents to design CAD and hardware. Also drop any good papers, blogs, or embodied AI projects I should be looking pls.
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  • user avatar
    Muratcan Koylan
    Sully.ai
    @muratcan
    Aug 10
    Don’t make the model solve the entire complex problem. Make the harness turn the complex problem into a collection of simple problems. 1. Start with the dumbest system that can work. 2. Build a good eval. 3. Add complexity only where the eval shows that you need it. I love
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  • user avatar
    Muratcan Koylan
    Sully.ai
    @muratcan
    Aug 8
    100%. To me, mastering prompt & context engineering is less about becoming an expert in an engineering domain and more about knowing how to activate the right neural nets of the model for an unfamiliar problem. It is extremely undervalued how important (and challenging) it is to
    user avatar
    Dean W. Ball
    @deanwball
    Aug 8
    if you can master the meta-skill of figuring out what problems in arbitrary domains are computationally tractable, you will have the opportunity, for at least a year two, and maybe longer, to be a kind of meta-genius. you will not know the answer to anything, or even how to find

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