Short answer
Screen AI Agent Builders by checking whether they can define tasks, tools, memory or retrieval, guardrails, evaluation, handoff points, and failure behavior.
- Decide if this page applies to: Teams exploring agents for research, operations, support, sales, or internal copilots.
- Check first: The agent has a clear task and stop condition.
- Avoid this mistake: Calling any AI assistant an agent.
Use this page for
Make the next action smaller
Use this page to decide whether to browse, post, rewrite the brief, or check rules instead of collecting more background.
Start
Decision context
Decision criteria
The agent has a clear task and stop condition.
Next action
View category guides
Decision context
Agent work is not just a chatbot label. It needs clear task boundaries, available tools, permissions, and a way to know when the agent should stop or ask a person.
Evidence to inspect
Inspect task decomposition, tool calls, retrieval, memory decisions, evaluation traces, human review, and how the Builder handled unreliable outputs.
Boundary and next step
If the task can be solved by a deterministic automation or simple RAG flow, avoid adding agent complexity too early.
What you still need to confirm yourself
- Confirm budget, timeline, contract terms, and legal or compliance needs outside the Resource page.
- Interview the Builder and discuss how they would handle data access, quality checks, maintenance, and handoff.
- Make the final hiring decision yourself; platform evidence is a starting point, not a substitute for judgment.
Decision criteria
Common mistakes
- Calling any AI assistant an agent.
- Skipping evaluation because the demo completes one happy path.