AI Gateway

“Guillermo Rauch shared that token volume on Vercel’s AI Gateway averaged double-digit weekly growth for eight straight weeks, accelerating to 24.8% in the most recent week referenced.”

#20 in Guillermo Rauch shared that token volume on Vercel’s AI Gateway averaged double-digit weekly growth for eight straight weeks, accelerating to 24.8% in the most recent week referenced.

“Ali Ghodsi shared how Smart Routing works on the author’s AI Gateway, describing it as a “super simple idea” that lowers costs by about 30% without sacrificing quality.”

#10 𝕏 Ali Ghodsi shared how Smart Routing works on the author’s AI Gateway, describing it as a “super simple idea” that lowers costs by about 30% without sacrificing quality.

“Guillermo Rauch launched AI Gateway, a production-grade infra layer offering budgets per key/team/project, automatic failover, model and provider choice, plus real-time observability.”

#6 𝕏 Guillermo Rauch launched AI Gateway, a production-grade infra layer offering budgets per key/team/project, automatic failover, model and provider choice, plus real-time observability.

“Guillermo Rauch announces that AI Gateway now supports real-time streaming transcription via the new streamTranscribe endpoint in the AI SDK, enabling developers to build live voice agents with unprecedented speed.”

#14 𝕏 Guillermo Rauch announces that AI Gateway now supports real-time streaming transcription via the new streamTranscribe endpoint in the AI SDK, enabling developers to build live voice agents with unprecedented speed. #15 𝕏 Boris Cherny uses Fable’s dynamic workflows and a profiler to iteratively tune his code until the p95 latency drops below 300 ms.

“#7 𝕏 Guillermo Rauch launched an AI SDK with an open model API, the eve.dev open Agent API, and an AI Gateway for ZDR inference.”

#6 📝 PromptLayer Blog Why fine-tuning is probably not for you - Fine‑tuning often delivers little or no improvement over RAG—studies cited show context‑injection (RAG) outperforms fine‑tuned models significantly—and it’s complex, slow to iterate, typically requires on the order of >10,000 examples, risks losing model generality, and can introduce data‑privacy and ongoing update costs. However, fine‑tuning can enforce specific output formats, tweak tone, improve multi‑step reasoning per recent arXiv research, reduce token usage by baking prompts, and be used to "up‑cycle" cheaper models (e.g., using GPT‑4 outputs to fine‑tune 3.5 or Stanford’s Alpaca replicating LLaMA). #7 𝕏 Guillermo Rauch launched an AI SDK with an open model API, the eve.dev open Agent API, and an AI Gateway for ZDR inference. He argues startups and enterprises must own their data, evals, model choices and software layer—don’t outsource your brain. #8 𝕏 Aravind Srinivas argues that humans’ knack for tool use means local AI models can efficiently orchestrate power-hungry frontier models, making lightweight local agents the default, low-power interface for most tasks.

“#3 𝕏 Guillermo Rauch rolled out per-API Key spend caps on AI Gateway, letting users set budget limits for each key to better control costs.”

GenAI PM Daily May 31, 2026 GenAI PM Daily 🎧 Listen to this brief 3 min listen Today's top 19 insights for PM Builders, ranked by relevance from X, LinkedIn, Blogs, and YouTube. Josh Pigford’s 3-phase AI-agent build process #1 𝕏 NVIDIA AI launched DynoSim, a full-Rust, workload-driven simulator for the Dynamo serving stack that models your entire inference pipeline on one virtual timeline and screens thousands of deployment configurations in high-fidelity simulation. #2 𝕏 Clement Delangue hails AI Security Institute’s open release of its evals, datasets and models on Hugging Face, empowering researchers worldwide to scrutinize, reproduce and build on their AI safety work. #3 𝕏 Guillermo Rauch rolled out per-API Key spend caps on AI Gateway, letting users set budget limits for each key to better control costs.

“#13 𝕏 Guillermo Rauch : Vercel’s new AI Gateway surfaces real-world production AI and agent usage—Google leads at scale, Anthropic dominates coding spend, OpenAI adoption has surged since v5.4, and OSS models keep gaining ground.”

#13 𝕏 Guillermo Rauch : Vercel’s new AI Gateway surfaces real-world production AI and agent usage—Google leads at scale, Anthropic dominates coding spend, OpenAI adoption has surged since v5.4, and OSS models keep gaining ground. #14 𝕏 Lenny Rachitsky warns that data science teams now spend most of their time reviewing AI‐generated analyses from PMs and engineers—50% of which are wrong—making the role far less fun.

“Infinite AI chess game : Guillermo Rauch @rauchg built an infinite AI chess game powered by the AI SDK , an AI Gateway , and a continuous workflow—watch Anthropic vs OpenAI .”

AI Tools & Applications Infinite AI chess game : Guillermo Rauch @rauchg built an infinite AI chess game powered by the AI SDK , an AI Gateway , and a continuous workflow—watch Anthropic vs OpenAI . LlamaSheets beta for spreadsheet cleanup : Llama Index @llama_index introduced LlamaSheets beta , extracting regions and tables from messy spreadsheets to output clean Parquet files . Product Management Insights & Strategies AI-powered sales automations : Lenny Rachitsky @lennysan highlighted how companies now hit revenue targets with half the sales headcount using AI automations , summarizing “ We're done with hiring humans for sales .” Experimentation guardrails : George Nurijanian @nurijanian outlined four essential test guardrails— clear success metrics , minimum viable sample size , maximum time box , and rollback criteria —to ensure valid results.