This lane turns abstract ideas into bounded, story-led examples that connect architecture choices to recognizable agent products and workflows.Documentation Index
Fetch the complete documentation index at: https://labs.prompthon.io/llms.txt
Use this file to discover all available pages before exploring further.
What belongs here
- Deep research agents
- Coding agents
- Customer support agents
- Research assistants
- Travel and concierge agents
- Document-analysis agents
- Media and content workflows
Editorial intent
Each case study should start with a user problem, then move through system shape, tool choices, memory strategy, evaluation questions, and likely failure modes.Current pages
- Deep Research Agents: a bounded look at planning, evidence collection, synthesis, and citation discipline.
- Coding Agents: a repository-first case study for scoped edits, verification, approvals, and human review.
- Customer Support Agents: a local-first case study for email triage and policy-grounded reply drafting.
Example starters
- Deep Research Agent Starter: a small project scaffold for planning, evidence collection, and cited output.
- Customer Support Email Agent Starter: a small local-document workflow for triaging customer emails and drafting policy-grounded replies.