I’m an experienced AI developer who focuses on building practical, production-ready solutions, not just demos that look good on paper. I’ve worked on things like: -Custom AI agents & assistants -LLM integrations (OpenAI, Claude, open-source models) -Automation pipelines & AI-powered tools -Backend + API integrations to make AI actually usable in real products I care a lot about clear communication, fast iteration, and delivering something that genuinely helps your business — not overengineering or buzzwords. I’m happy to suggest better approaches if I see one, and I keep things transparent so there are no surprises. If you already have a clear plan, I can execute quickly. Happy to jump on a quick chat to see if we’re a good fit. Looking forward to working together!

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Let's be honest—getting students to critically analyze primary sources instead of just skimming for facts is hard. Enter SCIM-C, a protocol that breaks down source analysis into manageable steps that students can actually follow (and that you can actually teach). SCIM-C isn't new—it's been around in history education for years. But here's what IS new: AI can help you model it, practice it, and give students personalized feedback on it. Let's break it down. What is SCIM-C? SCIM-C is a scaffold that guides students through a deeper, more methodical reading of historical sources. Think of it as a checklist that keeps students from just reading the surface and calling it a day. Here's what each letter stands for: S — Summarize What type of source is this? What's the basic content? What key information jumps out? C — Contextualize When and where was this created? What was happening at the time? What's the broader historical backdrop? I — Infer What's between the lines? What attitudes, biases, or perspectives can you detect? What isn't being said outright? M — Monitor What questions do you still have? What gaps or uncertainties does this source leave you with? What does it NOT tell you? C — Corroborate How does this source compare to other evidence? Does it confirm or contradict what you've learned elsewhere? Why SCIM-C Works SCIM-C forces students to slow down and engage with sources the way historians actually do. Instead of racing to "the answer," they're building a habit of questioning, contextualizing, and comparing evidence. And here's the kicker: SCIM-C makes AI useful instead of dangerous. When students just ask ChatGPT "What does this document mean?" they get a shallow summary and call it done. But when they use SCIM-C as their framework, AI becomes a thinking partner instead of a shortcut machine. Watch Out For: The SCIM-C Pitfalls ✅ DO: Require students to complete their own analysis BEFORE using AI for feedback or modeling. ❌ DON'T: Let students skip straight to asking AI for answers. That's not analysis—that's outsourcing their brain.