Product · Chat

WolfAI Chat

Claude-grade chat surface on the WolfAI root domain.

Status
Live
Category
Chat
Price
0 USD
Last updated
2026-04-19
Open WolfAI Chat

Why this exists

WolfAI Chat is a public chat interface running on wolfai.dev/chat. It proxies through the WolfAI backend and is designed for product strategy, automation architecture, and implementation tradeoffs.

Highlights

  • SSR-friendly chat surface that search engines and AI crawlers read on first load
  • Proxied through the WolfAI stack — no client-side API keys required
  • Tuned for product strategy, automation design, and implementation tradeoffs

What WolfAI Chat is for

WolfAI Chat is the public front door to the WolfAI stack. It is optimised for concrete product and engineering questions — scoping an AI feature, choosing a model, designing an agent loop, or evaluating whether a workflow is worth automating. The response style favours direct answers over generic preamble.

How it is built

The chat shell is a Next.js 14 app-router surface with server components for metadata and JSON-LD, and a client component for the streaming UI. Requests are routed through the Hono backend on api.wolfai.dev, which adds rate limiting, prompt caching, and model routing. Every response ships with an X-Robots-Tag noindex header on the API side so internal traffic stays out of search.

When to use it

Use WolfAI Chat before opening a ticket, before writing a spec, and before starting a build. It is not a replacement for pair programming or domain-specific tools — it is a fast way to pressure-test an idea against someone who has shipped similar systems.

Frequently asked questions

What does WolfAI Chat do?

WolfAI Chat helps with AI product planning, automation architecture, deployment strategy, and implementation tradeoffs. It runs on wolfai.dev/chat and is free to use.

Is WolfAI Chat free?

Yes. WolfAI Chat is publicly available at wolfai.dev/chat with no login required for the default experience.

Which models power WolfAI Chat?

WolfAI Chat uses a routed mix of Anthropic Claude and OpenAI models selected per request based on task type, latency target, and cost. See the /models section for details.