Capstone: A Production-Ready Research Agent
Combine retrieval, state, approvals, evaluation, and observability into an agent that can be reviewed before release.
Learning objectives
- Deliver an evidence-backed agent with bounded authority
- Prepare a test and operational readiness packet
- Decide whether the system is ready for a limited release
ToolDix original visual
Frame
Name the outcome and constraints.
Build
Try one bounded workflow.
Review
Keep evidence, revise, and share.
Deliverable
Build a research assistant for an approved document set. It accepts a question, retrieves evidence, drafts a cited answer, asks for approval before any export, and stores a redacted trace. It never writes to an external system by default.
Readiness checklist
Include an architecture diagram, tool contracts, authorization matrix, data-retention table, evaluation dataset, trace example, incident response path, and rollback switch. Release only to a small internal group first.
Acceptance tests
The agent must answer supported questions with citations, abstain when evidence is missing, respect document permissions, refuse injected instructions, stop after its tool budget, and preserve a useful trace for each result.
Practice:
Run the complete acceptance set twice: once with valid evidence and once with a deliberately injected document. Compare the traces, document every failed control, and define the smallest change that closes each gap.
Reflection
Write what a human reviewer remains responsible for. If that cannot be stated clearly, the agent has too much autonomy or too little operational design.
Sources and license context
These references informed the lesson. ToolDix adds its own explanation, workflow, and practice rather than reproducing source material.
- Hugging Face AI Agents Course (Course terms apply)
Take it further
Use a primary source to deepen this lesson.
Each recommendation is a direct link to the publisher or author. The study prompt is ToolDix editorial guidance, not copied course content.

Hands-on lab
LLM Course
Complete the pipeline exercise, then write down what information disappears when text becomes tokens.
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Classic reading
Attention Is All You Need
Read the abstract and architecture figure first; annotate what information flows between tokens.
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Course
AI Agents Course
Before using a framework, write down one tool contract and the exact state an agent is allowed to change.
Open original source