Building a good product
Summary
NineLayer, a search engine for AI agents, claims 5x lower cost than Tavily and Exa while maintaining competitive answer quality, and is seeking early user feedback.
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Product Integrations
NineLayer, an MCP-based search engine for coding and research agents, has improved latency from 40s to 1.5s and is seeking user input on which platform integrations to prioritize.
Building your product
The article discusses the challenge of building agent infrastructure, emphasizing that trust and evidence are more critical than retrieval, and introduces Ninelayer's focus on providing better evidence for coding agents.
under 2% quality gap but 10x cost difference: tested 5 models on identical tool calling tasks[D]
A developer tested five AI models on tool calling tasks and found that cheaper models perform within 2% of expensive models like Opus, with Tencent's Hunyuan under $1.50 vs Opus's $15, leading to a daily cost reduction from $40 to $9 by routing simpler tasks to cheaper models.
AI search startups are blowing up
AI search startups like Exa Labs and Parallel Web Systems are raising large funding rounds as they compete with Google and ChatGPT to transform search. The article notes that while Google is revamping its search with AI, there is room for startups to carve a niche.
DeepSeek just popped the American AI bubble.
DeepSeek's V4 Pro model undercuts rivals like GPT-5.5 and Claude Opus by 10-35x on pricing, signaling a deflationary pressure on the AI bubble as margins compress with 'good enough' models at significantly lower cost.