06 / Exploration
AI agent and search workflows
Exploratory work on AI-assisted development, search, retrieval, and human-reviewed workflow outputs.
Context
I am exploring where agent workflows and search can support practical software without obscuring their boundaries.
The problem
AI features are easy to make impressive in a demo and harder to make dependable in a real workflow with clear boundaries and human review.
Work involved
I explore these systems through application development, writing, and workflow design, treating the work as active learning rather than a finished claim of expertise.
Approach
- Start with the job the workflow needs to do and the boundaries it needs to respect.
- Treat search and retrieval as parts of a larger system with clear limits.
- Keep outputs reviewable, explainable, and connected to a practical user need.
What this work shows
This work shows AI-assisted development, agent-oriented workflows, search and retrieval, reliability thinking, and human review as questions to test rather than claims to decorate.
Technical or communication skills involved
Outcome
Current exploration focused on bounded AI behavior, reviewable outputs, and practical user needs.