84 posts in this category
After 10 months of coding with AI assistants, I've learned they're like interns—powerful but needing specific instructions, which means I must deeply understand frameworks to solve real problems like making my slow chatbot fast.
I upgraded my chatbot Sydney to test Weaviate's hybrid search and query structuring—features I need to scale my financial chatbot across 500+ companies.
I built a financial chatbot that answers S&P 500 questions using SEC data—with a self-critique agent that improves answers before you see them.
I rebuilt my site's frontend with AI, upgraded my chatbot's intelligence, and discovered continuous deployment—all because Docker refused to cooperate.
I rebuilt my chatbot with FastAPI and async processing, cutting response times while simplifying the interface—here's how targeted optimizations transformed user experience.
I dove into building a chatbot with zero coding skills and enthusiasm—only to discover my v0.1 was a disaster of CSV databases and primitive chunking, until AI agents pulled me out.
After a year of using AI for everything from road trip planning to product research, my search habits reveal a seismic shift—and a warning for publishers.
I completed 7 Andrew Ng courses in months—from ML fundamentals to building GenAI apps. Here's my roadmap for going from zero to shipping your first LLM application.
Google Trends data reveals "error in moderation" was the top rising ChatGPT search term in the US, exposing widespread reliability issues users are frantically Googling.
I built a GPT-4 tool that generates Google-optimized RSA ad copy in minutes by analyzing your landing page—saving hours while automatically following Google's latest best practices.
I've noticed GPT-4's performance sharply decline over 4-6 weeks—so much that I now pay for Claude Pro. Here's what's breaking and which alternatives actually work.
I rebuilt my chatbot in one week, upgrading from basic post summaries to full-text search with chunking, security, and metadata—here's what I learned about balancing AI power with cost.