🧠 AI HR Dojo Recap – Oct 30, 2025 Today’s session focused on teaching your chatbot to continuously improve and self-correct, transforming it from a static Q&A bot into a dynamic HR assistant that learns from feedback. 🧩 What We Covered 1️⃣ From Static to Smart: Learned how to use the Regenerate tool to improve responses instantly. Explored feedback tables — the “memory bank” where your chatbot stores all learning updates. Practiced reshaping answers through iterative testing (emulator + logs). 2️⃣ Troubleshooting and Logs: Discovered how to track your bot’s behavior using the Logs and Inspect tools in Botpress. Learned to interpret errors and trace why a bot might give the wrong answer. Discussed how these debugging tools mirror real enterprise QA environments. 3️⃣ The Learning Loop: Practiced refining chatbot responses using feedback (“make this shorter,” “add life events,” “use bullet points”). Saw how these adjustments are saved permanently and retrievable via the Feedback Table. Understood how this feedback loop mimics employee learning — every prompt makes your assistant smarter. 4️⃣ Advanced Use Cases: Creating internal HR data tables (e.g., employee directories or location data) to query like “Who is Marcus’s manager?” Using tools and plugins (like PDF generation) for richer responses. Compared capabilities between Botpress, Microsoft Copilot, and NotebookLM for enterprise deployment. 💡 Key Takeaway Your chatbot can now learn like a human teammate — adapting, improving, and staying compliant. This session marks your transition from “building bots” to training intelligent HR assistants that grow with your organization. 📝 Homework Assignment 1️⃣ Use the Regenerate feature to improve at least 3 chatbot responses. 2️⃣ Add your Feedback Table to the Knowledge Base (so your bot remembers your improvements). 3️⃣ Test your Policy Agent and confirm it blocks restricted topics. 4️⃣ Publish your bot (if not yet done) and share your web chat link in the comments below.