Coach job interviews with Whisper, GPT-4.1, and OpenAI text-to-speech
Needs changesWhat this workflow does
This AI workflow has 13 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects OpenAI Chat Model.
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- Set - Config (Edit Fields (Set)): sets 9 fields: sessionId, role, turnNumber…
- HTTP Request: calls an HTTP API (POST)
- JS - Analyze Transcript, Compute Speech Metrics & Build Coaching Context (Code): runs custom JavaScript code
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; memory: Window Buffer Memory
- Set - Parse Agent Output (Edit Fields (Set)): sets 1 field: parsedAgentOutput
- HTTP Request: calls an HTTP API (POST)
- Wait: pauses before continuing
- If: checks a condition and branches into true / false
- Respond to Webhook: sends the response back to the webhook caller
- Respond to Webhook: sends the response back to the webhook caller
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in AI Agent - Interview Coach (v1.6): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Agent - Interview Coach (v1.6) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (10)
- Webhook
n8n-nodes-base.webhook - Edit Fields (Set)
n8n-nodes-base.set - HTTP Request
n8n-nodes-base.httpRequest - Code
n8n-nodes-base.code - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - AI Agent
@n8n/n8n-nodes-langchain.agent - Wait
n8n-nodes-base.wait - If
n8n-nodes-base.if - Respond to Webhook
n8n-nodes-base.respondToWebhook
From the author
Quick overview This workflow runs as a webhook-based, voice-first mock interview coach that transcribes a candidate’s audio with OpenAI, analyzes delivery metrics, uses an OpenAI chat agent with session memory to generate coaching feedback and a follow-up…