AI Use Case Assessment Worksheet
3-dimensional evaluation framework (Desirability, Feasibility, Viability) with scoring system.
Practitioner Assets
Use-case gates, eval plans, agent harness checklists, degradation triage, and production readiness reviews.
3-dimensional evaluation framework (Desirability, Feasibility, Viability) with scoring system.
Financial analysis template with cost/benefit calculations, risk scenarios, and sensitivity analysis.
How to write Ralph-ready task definitions with measurable success criteria and verification patterns.
Comprehensive checklist to ensure success before every Ralph run, covering environment, cost controls, and safety nets.
A practical readiness review for AI systems before they reach real users, covering ownership, evals, fallback paths, cost, and observability.
A worksheet for defining tool boundaries, failure cases, regression datasets, escalation paths, and release gates for AI agents.
A reusable /goal contract for long-running AI coding sessions with context, constraints, success criteria, verification commands, stop rules, and final delivery proof.
Enterprise-ready worksheet for classifying AI systems, mapping EU AI Act obligations, and tracking risk, data governance, oversight, and monitoring evidence.
Frameworks and templates for evaluating AI use cases, calculating ROI, and making informed decisions.
Production-ready templates, checklists, and guides for implementing autonomous AI coding with Ralph Wiggum loops.
Operating checklists, eval plans, and readiness reviews for AI systems that need to survive real users.
3-dimensional evaluation framework (Desirability, Feasibility, Viability) with scoring system.
Enterprise governance and approval process with 5 gates. Mandatory before budget approval.
Financial analysis template with cost/benefit calculations, risk scenarios, and sensitivity analysis.
4-week proof-of-concept framework with success criteria, week-by-week structure, and decision gates.
Reference guide for selecting the appropriate AI level (0-5) with explanations and cost estimates.
How to write Ralph-ready task definitions with measurable success criteria and verification patterns.
Comprehensive checklist to ensure success before every Ralph run, covering environment, cost controls, and safety nets.
Complete PRD for implementing Ralph Wiggum autonomous coding workflows in production environments.
Step-by-step guide to mastering autonomous AI coding with Ralph Wiggum loops, from basics to advanced patterns.
A practical readiness review for AI systems before they reach real users, covering ownership, evals, fallback paths, cost, and observability.
A worksheet for defining tool boundaries, failure cases, regression datasets, escalation paths, and release gates for AI agents.
A reusable /goal contract for long-running AI coding sessions with context, constraints, success criteria, verification commands, stop rules, and final delivery proof.
Enterprise-ready worksheet for classifying AI systems, mapping EU AI Act obligations, and tracking risk, data governance, oversight, and monitoring evidence.
Note: These templates are designed to be filled out and used as working documents. Download the Markdown files to edit them directly, or view them online for reference.