
RunLLM tech stack
AI that doesn’t just respond—it resolves
Foundation
“A joy to work with. Branching, schema changes, and zero-downtime deploys make PlanetScale perfect for our evolving data models. Developer-friendly + production-safe = rare combo.” — the maker, Sep 2026 ↗
“It powers our multi-step workflows across agent actions. Temporal gives us durability, visibility, and precise control. Battle-tested orchestration with strong developer UX.” — the maker, Sep 2026 ↗
AI in the product
“Claude 3 Opus handles longer context and nuanced conversation better than most. Great for logs, long-form reasoning, and fallback flows. Best long-context memory and thoughtful responses.” — the maker, Sep 2026 ↗
“Gemini is arguably one of the top foundation models and with the most upside. They're executive incredibly well. Especially strong with coding and multi-modal inputs. A great model to keep in our multi-agent toolbox.” — the maker, Sep 2026 ↗
“Still the most consistent model for high-stakes support answers. GPT-4-turbo gives us control, reliability, and depth — all critical for enterprise use. Most production-ready reasoning and tool use stability.” — the maker, Sep 2026 ↗
Shipping
“GCP gives us scalable infra with minimal friction. Their tooling around AI workloads has improved significantly in the past year. Easy integration with AI pipelines and generous scaling.” — the maker, Sep 2026 ↗
Growth
“We use Amplitude to track how people engage with agents, what drives trust, and where friction lives. Great for product-led iteration. Clear funnels, good event modeling, fast insights.” — the maker, Sep 2026 ↗
Built on a similar stack
Products that share the most distinctive building blocks with RunLLM.