🧩 What This Covers#
I design practical workflows powered by large language models (LLMs) that extend human capability - automating analysis, answering context-heavy questions, and simplifying complex tasks. These aren’t chatbots - they’re tools built to solve real problems.
🛠Common Scenarios#
- You’re manually summarizing reports, emails, or meeting notes
- You want to surface insights across messy or unstructured content
- You’re exploring LLMs but unsure how to integrate them into real workflows
- You’re repeating the same kinds of analysis or writing patterns again and again
- You need smarter automation that adapts to context — not just rule-based triggers
📌 What I Focus On#
- Building LLM workflows that augment existing processes, not replace them
- Designing with clarity, traceability, and fallback logic in mind
- Integrating LLMs where they reduce effort or improve quality, not just for novelty
- Using prompt engineering and embedded context to tailor outputs to real business needs
- Prototyping fast, then validating usefulness before scaling
🚀 Outcomes You Can Expect#
- Reduced time spent on repetitive analysis and content creation
- Easier access to insights across docs, messages, and systems
- Smarter internal tools that respond to real user needs
- Faster experimentation with LLM capabilities in a structured way