Work AI · Reliability
AI request guardrails
The safety checks around an AI call, including input validation, duplicate protection, a time limit, strict output parsing, and an audit trail.
Sample · fake AI provider
- The problem
- A single AI request can fail in many ways, like bad input, a duplicate click, a slow response, or output in the wrong shape, and each needs handling before it reaches a customer.
- My approach
- Wrap every call in the same small set of guardrails and record what happened, so failures are visible and repeat requests don’t cost twice.
- What I built
- A dependency-light TypeScript library with tests and a demo. It uses a fake provider, so it runs without API keys, costs, or customer data.
Next step
Want something like this for your business?
Pick whichever is easiest. If there’s a good fit, I’ll send a short written scope. If not, I’ll tell you, and you’ll leave with at least one useful idea.
Book a 15-minute callPick a time that works for you. Opens my Google Calendar booking page.Choose a time ↗EmailSend a link to your site and what’s bugging you.brad@bradhobbs.dev
I reply within one business day.