Template
AI Automation Feature PRD Template
A streamlined AI automation PRD template to define features that use LLMs or agents. Helps builders and product managers turn AI ideas into technical specs quickly.
When you need to document a new AI-powered feature or automation workflow for your engineering team to build.
Fill in the bracketed sections to define the user problem, the specific AI logic required, and how you will measure success.
The template
PRODUCT REQUIREMENTS DOCUMENT: [Feature Name]
1. OVERVIEW
- Goal: [What is the primary problem this AI feature solves?]
- Target User: [Who is using this? e.g., Marketing Manager, End Customer]
- Success Metric: [How do we know it works? e.g., Reduction in manual time by 40%]
2. USER FLOW
- Trigger: [What starts the automation? e.g., User clicks 'Summarize' or a new email arrives]
- Input: [What data goes into the AI? e.g., Raw text, PDF, API data]
- Process: [Briefly describe the AI's job: e.g., Analyze sentiment -> Extract key dates -> Format as JSON]
- Output: [What does the user see? e.g., A 3-bullet summary in the dashboard]
3. AI SPECIFICATIONS
- Model Choice: [e.g., GPT-4o, Claude 3.5, Llama 3]
- Prompt Strategy: [e.g., Few-shot prompting (providing examples) or Chain-of-Thought (asking AI to think step-by-step)]
- Context Window Needs: [How much data does the AI need to read at once?]
- Temperature: [Creativity level: 0 for factual/strict, 0.7+ for creative]
4. EDGE CASES & GUARDRAILS
- Hallucination Risk: [What happens if the AI makes things up? How do we catch it?]
- Fallback Plan: [What happens if the AI API fails? e.g., Show a 'Retry' button or a default message]
- Constraints: [What should the AI NEVER do? e.g., Do not mention competitors, do not use jargon]
5. TECHNICAL REQUIREMENTS
- Data Source: [Where is the data coming from?]
- Latency Target: [Maximum acceptable wait time for the user, e.g., < 3 seconds]
- Human-in-the-loop: [Does a human need to approve the AI output before it's finalized? Yes/No]
6. TESTING & VALIDATION
- Golden Dataset: [List 5-10 'perfect' input/output pairs to test the AI against]
- Acceptance Criteria: [List 3 specific things that must happen for this to be 'Done']Make it yours
- For complex agents, add a 'Tooling' section listing which APIs the AI is allowed to call.
- If the feature is user-facing, add a 'UI/UX' section to describe how the AI loading state looks.
- Keep the 'Guardrails' section detailed to prevent the AI from behaving unpredictably in production.
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Decoded by anupamdecoded — Decoding AI, Business & Human Behaviour