You're Spending Too Much on AI. You're Also Using Too Little. — Ramp Builders Blog
engineering.ramp.com · 110 words · saved by 3 readers
A big AI bill does not mean you are using too much AI. It means you are buying it wrong.
How we agentically found, validated, and patched ~100 security issues in a 1-week experiment. Agents acting on behalf of a user provides a natural starting point for finance teams beginning to adopt agents, as well as for fully autonomous companies. A big AI bill does not mean you are using too much AI. It means you are buying it wrong. Start routine work on the cheapest model that clears your quality bar. Move up only when the task demands it. Fast mode off, paired with medium reasoning. Latency will still be faster than provider defaults. How and why we built a real-time AI spend and usage p
saved by
related reading
- Building Effective AI Agents \ Anthropicanthropic.com
- Hard Truths From the AI Trenches - Jason Liujxnl.github.io
- AI safety advocates: it's time to be more self-reflective about our personal usage of frontier AIconnorsscratchpad.substack.com
- Convictionconviction.com
- AI Is Really Weirdwheresyoured.at
- After Automation | Everyevery.to
- My AI Adoption Journey – Mitchell Hashimotomitchellh.com
- AI Token Spend Management | Track Token Usage & Spend by Provider, Model, and User | Rampramp.com
- AI Is Slowing Downwheresyoured.at
- ICONIQ | AI Economics is a Design Problemiconiq.com
- Why I'm Betting Against AI Agents in 2025 (Despite Building Them)utkarshkanwat.com
- Convictionconviction.com