Useful agents. Clear boundaries.
Define a browser agent’s authority, action gates, and stop conditions before allowing it into a research workflow.
NEURO BROWSER LAB / CATEGORY
AI & models
Evaluate the task, not the hype.
Explore model choices, prompting, agents, and evaluation as separate design questions. The articles in this collection offer practical exercises for defining acceptable outputs, dealing with unresolved cases, and keeping tool authority visible. None of these guides provides hosted model access; they help you ask better questions before using a service.
Begin with “AI browser agents: design permissions before automation” for a focused method you can apply to a small reading or planning exercise. Keep the original reference open beside the article, note which recommendations fit your task, and preserve any unresolved questions for review. Follow the related topic guides to change perspective without losing the source context.
3 articles in this reading path
Local or frontier? Start with the task.
A task-based framework for comparing model quality, device constraints, data boundaries, and review effort.
Better labels begin with better questions.
Build a label handbook, preserve supporting evidence, and route ambiguous outputs to a reviewable decision process.
Continue through the topic guides
Keep the larger question in view. These complete guides connect the reading path to definitions, limitations, and practical review questions.
Follow a question, not just a category.
Use these connected reading paths to explore source literacy, evaluation, data quality, and the decisions around a research workflow.