AI appointment setter rebuilt on the OpenAI Responses API

Source-checked Oct 11, 2026YouTube

The same GHL plus Make setter, moved off deprecated Assistants calls to the Responses API with a knowledge base written into the instructions.

Source: Scott Henry (Scale Agents), YouTube, 2026-04-01

1What it does

The same GHL plus Make setter, moved off deprecated Assistants calls to the Responses API with a knowledge base written into the instructions.

2Who it is for

Industry: Agency
Platform: HighLevel and Make together
Category: Conversation AI
Tools used: HighLevelMakeOpenAI Responses API

3How it works

Every step, in order, is in Workflow at a glance, pinned on the right as you scroll.

Workflow at a glanceHighLevel workflow

01 Trigger
Inbound message in HighLevel (webhook).
02 Action
Pipeline and custom fields in HighLevel.
03 Action
Webhook to Make.
04 Action
HTTP call to the Responses API with model and instructions.
05 Action
Parse the reply and send it from HighLevel.
06 Action
Qualification and booking logic.

Trigger: Inbound message in HighLevel (webhook).
AI step: Body starts: {"model": "gpt-5", "instructions": "You are an AI sales assistant texting leads on behalf of ScaleAgents.io. === KNOWLEDGE BASE ===..."}

4How it went

Unknown. The source shows the build but does not report results.

Only what the source reports. The source did not report numbers.

5Worth knowing

Build on current APIs. Deprecated endpoints break live setters.

6Recipe

Adapted from source Reworded or reconstructed from what the source shows.

{
  "model": "gpt-5",
  "instructions": "You are an AI assistant texting leads for {{business}}.\n=== KNOWLEDGE BASE ===\n{{facts}}\n=== RULES ===\nShort replies. One question at a time. Goal: book a call.",
  "input": "{{conversation_so_far}}"
}

7Source

Open the original YouTube by Scott Henry (Scale Agents) →

Source opened and read on 2026-10-11.

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