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AtlasRepo

Intent Classification and API Actions in a Recruitment Chat Flow

Описание и применение

Автоматический чат‑бот для рекрутеров классифицирует сообщения кандидатов, вызывает нужные API и отправляет структурированный ответ, ускоряя обработку заявок.

Задача

Recruiters need an automated way to classify candidate messages and trigger appropriate actions without manual intervention.

Результат

The workflow classifies candidate intents, updates the appropriate system of record, and returns a consistent reply, reducing recruiter effort and improving candidate experience.

Рабочий процесс

  • Receive message via chat webhook trigger
  • Use If node to detect intent based on keywords (e.g., "resume", "schedule")
  • Route to API node to call external service (POST/GET) with dynamic payload
  • Format response with Set node into structured JSON or markdown
  • Respond to Webhook node to send reply back to chat platform
  • Handle errors or unmatched intents with fallback or human review

Доказательства

The workflow begins when a chat webhook receives a new message from a candidate. The Detect Intent node uses an if condition to evaluate the incoming text.

Источник

Once the intent is identified, the Route to API node is called to perform the required action. This HTTP request node sends a POST or GET call to an external service, depending on what the recruiter needs.

Источник

After the API call completes, the Format Response node prepares a structured payload that the chat platform can display.

Источник

The final step in the core workflow is Reply to the Chat, which sends the formatted payload back to the original chat platform.

Источник

  • Дата записи: 2026-11-02T04:28:44.486Z