Stage 8 of 9
Trust, Safety & Economics
Defend against misuse, protect user data and make every AI feature pay for itself.
Level: Expert About 3 weeks at 6 hours a week 7 articles
By the end of this stage you can
- Threat-model prompt injection and tool misuse
- Design input, output and action guardrails
- Model unit economics and price an AI feature
Articles
- 8.1 Prompt injection and tool-use risks Understand prompt injection and the risks of giving AI features tools, including attack paths, realistic threat models and defenses that limit the damage. Level: Expert 9 min Completed
- 8.2 Data privacy and retention Handle user data responsibly in AI features, including what you send to model providers, retention, consent, regulated data and telling users plainly. Level: Expert 8 min Completed
- 8.3 Abuse, misuse and rate limiting Protect AI features from abuse with rate limits, quotas, misuse detection and cost-attack defenses, and handle users who push a feature beyond its purpose. Level: Expert 10 min Completed
- 8.4 Guardrails for inputs, outputs and actions Add guardrails around AI features with input checks, output validation, action limits and refusal handling, and keep them from blocking real users. Level: Expert 8 min Completed
- 8.5 Unit economics of AI features Work out the unit economics of an AI feature, from cost per successful task and value per user to margins by plan and the levers that improve them. Level: Expert 7 min Completed
- 8.6 Pricing AI features Price AI features with bundling, usage-based pricing, credits and tiers, protecting margins from heavy users and communicating limits fairly. Level: Expert 7 min Completed
- 8.7 Cost dashboards and budgets Track and control AI spend with cost dashboards by feature, model and customer, budgets and alerts, and spend reviewed as a product metric. Level: Expert 9 min Completed