Feature

Grounded AI Support Agent for API Companies

Grounded AI support agent for API companies, with workspace-scoped evidence, citations, confidence checks, clarification, and human handoff for developer support.

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What This Means

For API companies, a support answer is only useful when it matches the current product contract. The agent needs evidence, confidence gates, and a clean path to an operator.

  • Use workspace API context as the source of product facts.
  • Clarify when the developer's question is underspecified.
  • Hand off instead of inventing endpoints, fields, or behavior.

The Status Quo

Generic AI chatbots can sound confident while making up endpoint names, auth requirements, response fields, or webhook behavior.

  • Hallucinated API details create bad developer experiences.
  • Support teams need a record of why an agent answered.
  • Sensitive credentials and operator-only diagnostics must stay out of customer responses.

How Woes Helps

Woes treats the AI agent as a participant in the support workflow. It can answer from context, skip or clarify when context is insufficient, and leave a trail operators can inspect.

  • Citations and retrieval evidence support exact API claims.
  • Low-confidence paths move toward clarification or human takeover.
  • Redaction and boundary rules protect secrets and operator-only details.

Workflow

  1. 01Attach approved API context sources to the agent.
  2. 02Let developer questions arrive from live chat, email, or Discord.
  3. 03Retrieve relevant workspace evidence before answering.
  4. 04Answer with exact API facts when confidence is sufficient.
  5. 05Clarify or hand off when the agent should not guess.

Fit

Woes is a fit when

  • You need AI help with endpoint, auth, schema, response, or integration questions.
  • You care more about grounded answers and handoff than maximum answer volume.
  • Your support team wants evidence and operator review for AI-handled threads.

Woes is not a fit yet when

  • You want the agent to answer every question even without source evidence.
  • You need provider/model internals exposed as customer-facing controls.
  • You do not have support context the agent can retrieve from.

FAQ

What does grounded AI support mean?

Grounded AI support means the agent bases API claims on workspace-scoped context, conversation details, and safe verification rather than unsupported guesses.

What happens when the agent is not confident?

The agent should ask a focused clarifying question or hand off to a human operator when important endpoint, auth, payload, or context details are missing.

Can operators review agent evidence?

Yes. Woes is designed so operators can inspect evidence, see why the agent answered or skipped, and take over the conversation.

Do customers manage model providers directly?

Provider and model routing stay a backend platform concern; customer-facing settings should focus on product behavior, grounding, and handoff.