RAD AI — LLM Council Router
Auto-route to the best LLM for speed, depth & cost.
RAD AI — LLM Council Router launched on September 24, 2025 with 8 votes, #1,468 of 8,160 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
We’re the Kayak of LLMs—one prompt in, and our “LLM Council” auto-routes to the model that wins on speed, depth, and cost. You see the deliberation, capture the logs, and ship cheaper, faster, higher-quality outputs in a polished, product-ready UX.
Stop wasting time on manual work. RAD AI builds custom automation systems that generate leads and revenue — even when your tools don
We design and implement custom automation systems that replace manual processes across sales, operations, and internal workflows — even when your tools don't have APIs. We work with businesses that have proven revenue but are hitting operational ceilings. Automating client fulfillment, reporting, and lead sourcing to increase margins. Automating property sourcing, diligence checks, and investor outreach at scale. Scaling revenue operations (RevOps) without hiring more admin staff. Replace repetitive data entry, copy-pasting, and admin work with 24/7 digital workers. We build bridges between legacy software and modern apps, even without native integrations. Handle 10x the volume without…from itsradai.com
Pricing, as stated on its site
Paid from $7500/mo — Custom automation services with initial build investment of $7,500–$25,000+ plus ongoing retainer of $1,000–$4,000/month
checked October 2026 · prices change
Does a similar job
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FastRouter.ai22d ago · fastrouter.ai · ▲364Route requests to the right LLM for cost, latency & quality
- RYRoute your prompts to the best LLM2024 · unify.ai · ▲298
Hey HN, we've just finished building a dynamic router for LLMs, which takes each prompt and sends it to the most appropriate model and provider. We'd love to know what you think! Here is a quick(ish) screen-recroding explaining how it works: https://youtu.be/ZpY6SIkBosE Best results when training a custom router on your own prompt data: https://youtu.be/9JYqNbIEac0 The router balances user preferences for quality, speed and cost. The end result is higher quality and faster LLM responses at lower cost. The quality for each candidate LLM is predicted ahead of time…
LLM Gateway2025 · llmgateway.io · ▲296I built an OpenAI-compatible LLM gateway that routes requests to OpenAI, Anthropic, Ollama, vLLM, llama-server, SGLang... anything that speaks /v1/chat/completions. Single Go binary, one YAML config file, no infrastructure. It does the things you'd expect from this kind of gateway... semantic routing via a three-layer cascade (keyword heuristics, embedding similarity, LLM classifier) that picks the best model when clients omit the model field, weighted round-robin load balancing across local inference servers with health checks and failover. The part I think is most…
OpenRouter Model FusionApr 2026 · openrouter.ai · ▲144Hey HN, We've been building a multi-model API for LLMs called OpenRouter since we launched the Window AI extension in April this year [0]. The events of the last week make it clear the LLM landscape is unpredictable, so LLM aggregators are picking up interest. Unlike others, we're making a router on top of a public, explorable dataset. We recently built a way to rank and visualize this data, including the token counts we see going to and from different models, both open-sourced (like Llama, Mistral, finetunes, and variants) and closed-sourced (OpenAI, Anthropic). The API supports - 50+…
ModelRiverJan 2026 · modelriver.com · ▲37Connect once to every major AI model. Run AI workflows in the background while your backend controls what AI sees.
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