Step 2: Connect OpenAI Credentials

Multiple AI nodes generate the strategy, emotional framing, outline, and final content. Connect OpenAI once per node group.

1. Open each AI node and connect credentials: Compose Final Content, Draft Content Outline, Emotional Tone Builder, Extract Input Details, and Strategic Reasoning.
2. For each of those nodes, set Credential Required: Connect your openAiApi credentials.
3. Chat Model Provider is the language model connected to Derive Post Intent. If it prompts for credentials, add them on Chat Model Provider (not on Derive Post Intent).
4. Structured Result Parser is a sub-node of Derive Post Intent. Add credentials to the parent model node (Chat Model Provider), not to the parser.

Step 3: Set Up Request Mapping and Input Extraction

Map the incoming payload and extract structured details that power the rest of the workflow.

1. In Map Request Fields, add a field named webInput with value {{ $item("0").$node["Incoming Webhook Trigger"].json["body"]["webInput"]}}.
2. In Map Request Fields, add a field named sessionId with value {{ Date.now() + Math.random().toString(36).substring(2, 15) }}.
3. In Extract Input Details, keep JSON Output enabled and ensure the system prompt includes the session ID expression {{ $json.sessionId || Date.now() + Math.random().toString(36).substring(2, 15)}}.

Step 4: Configure Intent, Reasoning, and Emotional Framing

This block builds the strategic logic and emotional direction for the final content.

1. In Derive Post Intent, set Text to {{ $json.message.content.original_prompt }} and keep Has Output Parser enabled.
2. Ensure Structured Result Parser is connected as the output parser for Derive Post Intent using the JSON schema provided in the node.
3. In Strategic Reasoning, keep JSON Output enabled and use the intent expression {{ $json.output.intent }} in the messages.
4. In Emotional Tone Builder, keep JSON Output enabled and map the emotional framing from {{ $json.message.content }}.
5. In Shape Emotional Summary, set emotional_summary to Core Emotion: {{ $json.message.content.emotional_framing.core_emotion_to_evoke }} Emotional Journey: {{ $json.message.content.emotional_framing.emotional_arc }} Tone Style: {{ $json.message.content.emotional_framing.tone_modifiers }} Key Phrases: {{ $json.message.content.emotional_framing.emotionally_charged_phrases }}.

Step 5: Build the Outline and Final Content

Generate the outline, assemble final prompt inputs, and compose the finished post.

1. In Draft Content Outline, keep JSON Output enabled and confirm the prompt references {{ $('Derive Post Intent').item.json.output.intent }} and {{ $('Shape Emotional Summary').item.json.emotional_summary }}.
2. In Assemble Prompt Inputs, map fields like HookIdea to {{ $json.message.content["Hook idea"] }} and IdeaSummary to {{ $json.message.content["Story or idea summary"] }}.
3. In Assemble Prompt Inputs, set strategicreasioning to {{ $('Strategic Reasoning').item.json.message.content.strategicreasioning }} and emotional_summary to {{ $('Shape Emotional Summary').item.json.emotional_summary }}.
4. In Compose Final Content, keep the system prompt as-is and ensure it references all input variables (intent, strategic reasoning, emotional summary, platform, niche, tone, objective, key_details, and outline components).

Step 6: Configure Output Serialization and Response

Prepare the output for delivery and return it to the webhook caller.

1. In Serialize Output, keep the JavaScript code that stringifies output: // Loop over input items and stringify the JSON of each one for (const item of $input.all()) { item.json.myStringifiedField = JSON.stringify(item.json.someObject); } return $input.all();.
2. Connect Serialize Output to Return Webhook Response to send the final response back to the caller.

Step 7: Test and Activate Your Workflow

Validate the full path from webhook input to final content output and then enable production execution.

1. Click Execute Workflow and send a test POST request to the Incoming Webhook Trigger URL with a JSON body containing webInput.
2. Confirm that Compose Final Content returns a single polished content output and that Return Webhook Response delivers it to the caller.
3. When successful, toggle the workflow Active to enable production use.