Charlene
Chambliss
Full-stack AI engineer.
Building smarter data agents and context
management at Hex.
Latest Writing
Deep dives into AI, UX, and software.
Improving the Notebook Agent with Error Clustering
How we used clustering on the Notebook Agent's reasoning traces to figure out where it was getting stuck, and what we did about it.
Emerging UX Patterns for Generative AI Apps & Copilots
LLM-powered applications, particularly those with chat interfaces, appear to have significant problems with user churn. For a multitude of reasons, including not understanding how to use the app, getting bad or unreliable results, or simply finding using the app too tedious to use, users often abandon these tools nearly as quickly as they came. Knowledge workers are tired of juggling multiple apps, and are looking for ways to pare down their tool stack to the bare minimum needed to get their work done.
Using LLMs to Learn 3x Faster As An Engineer
Anyone in software engineering knows by now that being able to learn and get up to speed on new topics, libraries, or languages is a critical skill, both for onboarding onto a new team, as well as for continuously providing value on an existing team.
What I'm thinking about
- Low-friction workflows for domain experts to provide context to agents
- Making it easier to introspect agents' trajectories and decisions
- Leveraging AI to learn more quickly, both professionally and for fun
- Automating drudgery, freeing time for folks to think more about what than how
