Security●Mid
The new security frontier for LLMs; SIEM evasion
Research findings on Medium, not an actual tool or product you can deploy or test.
Bold Bet
danieltk76
202mo ago
Back to browse
Designing an API for LLMs, Not Humans
by RileyHilliard·Mar 30, 2026·3 points·0 comments
AI Analysis
●MidBig Brain
Interesting methodology but this is a blog post, not a product you can use.
Strengths
- •Agent-driven feedback loop produced specific, actionable API improvements.
- •Concrete metrics: 72 calls down to 8 for the same research task.
Weaknesses
- •This is content, not a tool — nothing to install or integrate.
- •Insights are specific to OpenData's research framework, not generalizable.
Category
Target Audience
API designers building for LLM agents
Post Description
We asked Claude to research US healthcare costs. It made 72 API calls. Three rounds of agent-driven feedback later, it takes 8. Here's what we changed and what we learned about API design when your primary consumer is an LLM.
Similar Projects
AI/ML○Pass
Progressive Cognitive Architecture – Training LLMs in 4 Phases
Blog post masquerading as a product; no code, no reproducible implementation.
dexmac221
103mo ago
AI/ML●●Solid
HighSNR – Cut length and noise from your LLM context
Beats full-context GPT-4o at 80% token budget with zero AI overhead.
Big BrainSolve My Problem
gskm
653mo ago
AI/ML●●●Banger
NERDs – Entity-centered long-term memory for LLM agents
Entity-centric memory cuts context 90% while matching full-text performance on NovelQA.
Big BrainWizardryZero to One
tdaltonc
1353mo ago
AI/ML●Mid
Reduce TTFT via Streaming to an LLM
Academic paper on TTFT optimization with no implementation to evaluate.
Big Brain
rajveerb
102mo ago
AI/ML●Mid
I reduced LLM inference GPU calls by 94% using semantic routing
94% GPU reduction claim needs verifiable benchmarks to stand out.
Bold BetShip It
kanacki
2113d ago