AI Agent Builder — 12 Free Engineering Templates

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AI Agent Builder — 12 Free Engineering Templates

A practical agent-engineering checklist you can adapt to real projects: requirements, tool permissions, architecture, test cases, failure handling and human approval.

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Use thoughtfully: templates are starting points. They do not grant account access, guarantee accuracy or override provider rules. Use fictional or authorised information and verify important outputs.

Open a template

Each item contains a practical prompt that you can select and copy. These resources work across multiple AI services with appropriate adjustments. They remain useful even if a particular platform changes its interface.

01 · Choose the right automation

Copy this into an appropriate assistant and replace the bracketed fields. Use fictional or approved information.

Evaluate this fictional process [task]. Identify the steps, frequency, error cost, data sensitivity and where a simple rule-based automation may be more reliable than an AI agent.

02 · Define an agent contract

Copy this into an appropriate assistant and replace the bracketed fields. Use fictional or approved information.

Design a bounded agent with goal [goal], allowed inputs [inputs], output schema [schema], permitted tools [tools], stop condition [condition] and explicit prohibited actions [actions]. Ask for missing information.

03 · Architecture sketch

Copy this into an appropriate assistant and replace the bracketed fields. Use fictional or approved information.

Draw a clear text architecture for a hypothetical agent: user, interface, application, model, retrieval, permitted tools, logging, validation, human approval, storage and failure handling.

04 · Tool permissions matrix

Copy this into an appropriate assistant and replace the bracketed fields. Use fictional or approved information.

Create a permissions matrix for these tools [list]. Compare read versus write access, required authentication, approval gates, audit logging and the consequences of misuse. Apply least privilege.

05 · Validate tool arguments

Copy this into an appropriate assistant and replace the bracketed fields. Use fictional or approved information.

Define a JSON input contract for [fictional tool], including required fields, allowed values, type validation and error responses. Treat model-generated arguments as untrusted until validated.

06 · Prompt-injection threat model

Copy this into an appropriate assistant and replace the bracketed fields. Use fictional or approved information.

Threat-model a fictional agent that reads external emails or web pages. Identify untrusted content, possible instruction injection, permissions at risk, and safeguards that keep document text from acting as higher-priority commands.

07 · Human approval checkpoint

Copy this into an appropriate assistant and replace the bracketed fields. Use fictional or approved information.

Design an approval screen for [potential external action]. Show proposed action, destination, data affected, reason, risk, who approves and what happens if approval is denied or times out.

08 · Failure and retry policy

Copy this into an appropriate assistant and replace the bracketed fields. Use fictional or approved information.

List failure scenarios for [workflow]: timeout, wrong input type, duplicate request, missing permissions, stale data, API error and partial completion. Specify safe retries, idempotency and escalation.

09 · Test cases and assertions

Copy this into an appropriate assistant and replace the bracketed fields. Use fictional or approved information.

Create five tests for [agent function]: normal case, missing fields, unexpected response, permission refusal and duplicate execution. For each, define expected output and an assertion a reviewer can check.

10 · Cost and latency worksheet

Copy this into an appropriate assistant and replace the bracketed fields. Use fictional or approved information.

Estimate use of [model] with hypothetical requests per day, average input/output tokens, tool calls and execution time. Show the formula, assumptions and which current vendor prices must be checked.

11 · Logging and evaluation

Copy this into an appropriate assistant and replace the bracketed fields. Use fictional or approved information.

Design a minimal event log for [workflow] with timestamps, request identifiers, validated actions, tool outcomes, approval status and error types. Exclude secrets and unnecessary personal data.

12 · Deployment readiness review

Copy this into an appropriate assistant and replace the bracketed fields. Use fictional or approved information.

Review a proposed agent for goal clarity, source permissions, data governance, failure testing, human approval, monitoring, rollback, documentation and support ownership. Report blockers before deployment.

Want the guided journey?

The full AI Agents & Automation syllabus is divided into six substantial modules. The free lesson gives you a taste of the teaching style; the full course is under development.

Try the free practical lesson Explore the 24-lesson syllabus