AAIA: Agentic Research Systems

More Info Here

What You’ll Learn

• The difference between asking AI a question and designing a research system — and why the second one compounds the more you use it
• How AI inherits the biases of the web it was trained on — and what to do about it in your own workflow
• A plain-English framework for judging credibility — recency, authority, evidence, relevance
• The vocabulary you actually need: just-in-time help, multi-step AI helpers, triangulation, automation bias
• How to wire credibility checks into your workflow so you trust what comes out

What You’ll Build

In the 90-minute hands-on lab, you will:

• Pick one real research problem you actually have — a topic you track, a brief you write, a class of question you answer over and over
• Map it into a 3–5 step research system: what to pull, where to cross-check, how to flag uncertainty
• Test it with a small data set you bring — your PDFs, URLs, notes
• Leave with an MVP workflow and a roadmap for taking it further