Spydr site assistant

About this tool

This assistant answers questions about Spydr using the same live content we publish on the site: services, case studies, team, news, and contact details. It is grounded on that context rather than open web search, so responses stay aligned with what we actually say on spydr.com.

That narrow scope is deliberate. When an assistant only needs to know your product docs, policies, or marketing copy, you get sharper answers, fewer hallucinations, and responses that sound like your brand rather than a generic chatbot. You also keep cost and latency predictable because the model is not reasoning across the whole internet for every question.

The same inference plane powers wider use cases we ship for clients: customer support on a bounded knowledge base, internal onboarding over HR + engineering docs, product Q&A tied to live documentation, and agents that call tools (CRM lookups, ticket creation, status checks) when a workflow needs more than text.

Under the hood, Spydr's inference plane can route prompts to different profiles based on complexity. The questions people ask here are short and factual, so almost everything stays on the express path. You are not going to hit the deeper reasoning profile unless you deliberately throw something analytical at it.

In testing, typical prompts like the suggestions above return a first token in around 397ms, with a full short answer often landing in under a second. Longer replies stream in over the next second or two. That is the payoff of a scoped assistant on a fast route: it feels immediate, not like waiting on a general-purpose model to think aloud.

Try the suggested prompts or ask your own question. For production assistants we add auth, analytics, richer retrieval, and tool calling where the use case needs it.