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Reddit Post Workflow

This workflow uses AI to gather the latest news, formats it into a Reddit post, validates the structure, and automatically submits it to a subreddit.

Preview

This workflow chains a DuckDuckGo-powered AI node to research and draft a Reddit post, a second AI node to reformat the output, a Data Validation node to enforce the correct schema, and finally the Reddit Post node to submit the post.

JSON

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            "type": "llm-process",
            "position": {
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                "y": 231.5
            },
            "data": {
                "title": "AI Data Processing",
                "model": "gemma4:e2b",
                "prompt": "You are a Reddit post writer.\nGather the latest AI technology news from the last week (you have access to \"duckDuckGoSearch\" tool to search the web - the tool use is mandatory), then create a Reddit text post summary (include the liks) with a catchy title.\nOutput only a single valid JSON object with these exact fields: `subreddit`, `postType`, `postTitle`, `postBody`, `postFlair`, `nsfw`, and `spoiler`.\n- `subreddit` must be `r/test`\n- `postType` must be `self`\n- `postFlair` must be an empty string\n- `nsfw` must be `false`\n- `spoiler` must be `false`\nDo not include any extra explanation, markdown, or text outside the JSON object.\n\nExample JSON output:\n{\n  \"subreddit\": \"r/test\",\n  \"postType\": \"self\",\n  \"postTitle\": post title,\n  \"postBody\": post body,\n  \"postFlair\": \"\",\n  \"nsfw\": false,\n  \"spoiler\": false\n}\n",
                "message": {},
                "format": {
                    "onSuccess": ""
                },
                "maxFeedbackLoops": 1,
                "maxToolRetries": 3
            },
            "measured": {
                "width": 160,
                "height": 40
            },
            "selected": false,
            "dragging": false
        },
        {
            "id": "d442cdaa-15da-4f0b-867b-ae26ee996d8d",
            "type": "reddit-post",
            "position": {
                "x": 1294,
                "y": 206.5
            },
            "data": {
                "title": "Reddit Post",
                "subreddit": "",
                "postType": "self",
                "postTitle": "",
                "postBody": "",
                "postFlair": "",
                "nsfw": false,
                "spoiler": false,
                "clientId": "",
                "clientSecret": "",
                "postProvidedByUpstream": true
            },
            "measured": {
                "width": 160,
                "height": 40
            },
            "selected": false,
            "dragging": false
        },
        {
            "id": "ddd49c73-5b22-44c3-a105-dc2932aefe76",
            "type": "ai-tool",
            "position": {
                "x": 792.5,
                "y": 307.5
            },
            "data": {
                "title": "DuckDuckGo Search Tool",
                "toolSubtype": "duckduckgo-search",
                "userConfig": {
                    "maxResults": 5,
                    "requireToolUse": true
                },
                "userConfigSchema": {
                    "maxResults": {
                        "type": "integer",
                        "description": "Maximum number of results to return",
                        "default": 5,
                        "minimum": 1,
                        "maximum": 20
                    },
                    "requireToolUse": {
                        "type": "boolean",
                        "description": "Require tool use (forces the LLM to always call this tool)",
                        "default": true
                    }
                }
            },
            "measured": {
                "width": 120,
                "height": 40
            },
            "selected": false,
            "dragging": false
        },
        {
            "id": "a312c98d-1904-4775-a370-7d8cb0640624",
            "type": "data-validation",
            "position": {
                "x": 1086,
                "y": 238
            },
            "data": {
                "title": "Data Validation",
                "schema": "{\n  \"type\": \"object\",\n  \"properties\": {\n    \"subreddit\": {\n      \"type\": \"string\",\n      \"const\": \"r/test\"\n    },\n    \"postType\": {\n      \"type\": \"string\",\n      \"const\": \"self\"\n    },\n    \"postTitle\": {\n      \"type\": \"string\"\n    },\n    \"postBody\": {\n      \"type\": \"string\"\n    },\n    \"postFlair\": {\n      \"type\": \"string\",\n      \"const\": \"\"\n    },\n    \"nsfw\": {\n      \"type\": \"boolean\",\n      \"const\": false\n    },\n    \"spoiler\": {\n      \"type\": \"boolean\",\n      \"const\": false\n    }\n  },\n  \"required\": [\"subreddit\", \"postType\", \"postTitle\", \"postBody\", \"postFlair\", \"nsfw\", \"spoiler\"],\n  \"additionalProperties\": false\n}"
            },
            "measured": {
                "width": 120,
                "height": 40
            },
            "selected": false,
            "dragging": false
        },
        {
            "id": "586facaf-6c70-4b30-87ed-604556a11d72",
            "type": "llm-process",
            "position": {
                "x": 1065,
                "y": 346
            },
            "data": {
                "title": "AI Data Processing",
                "model": "llama3.2:3b",
                "prompt": "You need to properly format the data received. Make sure you receive something similar to:\n{\n  \"subreddit\": \"r/test\",\n  \"postType\": \"self\",\n  \"postTitle\": post title,\n  \"postBody\": post body,\n  \"postFlair\": \"\",\n  \"nsfw\": false,\n  \"spoiler\": false\n}\n\nIf the data received is not like that, then you need to respond with an error.",
                "format": {
                    "onSuccess": "{\n  \"type\": \"object\",\n  \"properties\": {\n    \"subreddit\": {\n      \"type\": \"string\",\n      \"const\": \"r/test\"\n    },\n    \"postType\": {\n      \"type\": \"string\",\n      \"const\": \"self\"\n    },\n    \"postTitle\": {\n      \"type\": \"string\"\n    },\n    \"postBody\": {\n      \"type\": \"string\"\n    },\n    \"postFlair\": {\n      \"type\": \"string\",\n      \"const\": \"\"\n    },\n    \"nsfw\": {\n      \"type\": \"boolean\",\n      \"const\": false\n    },\n    \"spoiler\": {\n      \"type\": \"boolean\",\n      \"const\": false\n    }\n  },\n  \"required\": [\"subreddit\", \"postType\", \"postTitle\", \"postBody\", \"postFlair\", \"nsfw\", \"spoiler\"],\n  \"additionalProperties\": false\n}",
                    "onError": "{\n  \"type\": \"object\",\n  \"properties\": {\n    \"error\": { \"type\": \"string\" }\n  },\n  \"required\": [\"error\"]\n}"
                },
                "maxFeedbackLoops": 0,
                "maxToolRetries": 3
            },
            "measured": {
                "width": 160,
                "height": 40
            },
            "selected": false,
            "dragging": false
        },
        {
            "id": "d6dbd8d2-b017-486f-bdbf-a310b994d497",
            "type": "data-flow-spy",
            "position": {
                "x": 1293,
                "y": 317
            },
            "data": {
                "title": "Data Flow Spy"
            },
            "measured": {
                "width": 120,
                "height": 40
            },
            "selected": false,
            "dragging": false
        }
    ],
    "edges": [
        {
            "type": "smoothstep",
            "animated": false,
            "source": "ddd49c73-5b22-44c3-a105-dc2932aefe76",
            "sourceHandle": "right-source",
            "target": "c94d442b-c03b-4101-a2ab-5d8a8a9b6cb9",
            "targetHandle": "tools-target",
            "id": "xy-edge__ddd49c73-5b22-44c3-a105-dc2932aefe76right-source-c94d442b-c03b-4101-a2ab-5d8a8a9b6cb9tools-target"
        },
        {
            "type": "smoothstep",
            "animated": false,
            "source": "586facaf-6c70-4b30-87ed-604556a11d72",
            "sourceHandle": "right-source",
            "target": "a312c98d-1904-4775-a370-7d8cb0640624",
            "targetHandle": "left-target",
            "id": "xy-edge__586facaf-6c70-4b30-87ed-604556a11d72right-source-a312c98d-1904-4775-a370-7d8cb0640624left-target"
        },
        {
            "type": "smoothstep",
            "animated": false,
            "source": "d442cdaa-15da-4f0b-867b-ae26ee996d8d",
            "sourceHandle": "right-source",
            "target": "d6dbd8d2-b017-486f-bdbf-a310b994d497",
            "targetHandle": "left-target",
            "id": "xy-edge__d442cdaa-15da-4f0b-867b-ae26ee996d8dright-source-d6dbd8d2-b017-486f-bdbf-a310b994d497left-target",
            "selected": false
        },
        {
            "type": "smoothstep",
            "animated": false,
            "source": "c94d442b-c03b-4101-a2ab-5d8a8a9b6cb9",
            "sourceHandle": "right-source",
            "target": "586facaf-6c70-4b30-87ed-604556a11d72",
            "targetHandle": "left-target",
            "id": "xy-edge__c94d442b-c03b-4101-a2ab-5d8a8a9b6cb9right-source-586facaf-6c70-4b30-87ed-604556a11d72left-target"
        },
        {
            "type": "smoothstep",
            "animated": false,
            "source": "a312c98d-1904-4775-a370-7d8cb0640624",
            "sourceHandle": "right-source",
            "target": "d442cdaa-15da-4f0b-867b-ae26ee996d8d",
            "targetHandle": "left-target",
            "id": "xy-edge__a312c98d-1904-4775-a370-7d8cb0640624right-source-d442cdaa-15da-4f0b-867b-ae26ee996d8dleft-target"
        }
    ]
}

Node Configuration

• AI Data Processing (Writer)
  • Model: gemma4:e2b
  • Prompt: Instructs the AI to search for the latest AI technology news using DuckDuckGo and output a single JSON object with the Reddit post fields.
  • Max Feedback Loops: 1
  • Max Tool Retries: 3
• DuckDuckGo Search Tool
  • Max Results: 5
  • Require Tool Use: true
• AI Data Processing (Formatter)
  • Model: llama3.2:3b
  • Prompt: Reformats and validates the JSON structure from the writer node.
  • Format on Success: JSON schema enforcing the Reddit post object shape.
  • Format on Error: JSON schema returning an error field.
  • Max Feedback Loops: 0
  • Max Tool Retries: 3
• Data Validation
  • Schema: Enforces subreddit, postType, postTitle, postBody, postFlair, nsfw, and spoiler fields.
• Reddit Post
  • Client ID: (your Reddit app Client ID)
  • Client Secret: (your Reddit app Client Secret)
  • Post Provided by Upstream: true
• Data Flow Spy
  • Inspects the Reddit Post node output for debugging.

---

Steps

1. Search and draft the post
   • The first AI Data Processing node uses the DuckDuckGo Search tool to gather the latest AI technology news, then drafts a Reddit post as a JSON object.
2. Reformat the output
   • A second AI Data Processing node (llama3.2:3b) receives the draft and ensures the JSON strictly conforms to the expected shape, returning an error object if it does not.
3. Validate the structure
   • The Data Validation node applies a JSON schema to guarantee all required fields are present and correctly typed before the post is submitted.
4. Submit to Reddit
   • The Reddit Post node reads the upstream JSON and submits the post using the configured OAuth credentials.
5. Inspect the result
   • The Data Flow Spy node captures the Reddit Post node output for debugging and verification.

---

Common Use Cases

1. Automated news summaries: Publish periodic AI-generated news digests to a subreddit.
2. Content pipeline testing: Use r/test as a sandbox to validate the full post pipeline before switching to a real subreddit.
3. Research-to-post automation: Chain any research source to the formatter and post the results to Reddit automatically.

Best Practices

• Authenticate before sharing: Complete the Reddit OAuth flow in the Reddit Post node settings before running or exporting this workflow.
• Use r/test first: Always test with r/test to avoid unintended posts to real subreddits.
• Never commit credentials: The clientId, clientSecret, and accessToken fields are intentionally left empty in this template — fill them in at runtime only.
• Tune the writer prompt: Adjust the writer node's prompt to target a different topic, subreddit, or post format.
• Increase maxFeedbackLoops: If the writer model frequently produces malformed JSON, raising the feedback loop count gives it more attempts to self-correct.

Troubleshooting

• Post not submitted: Verify that the Reddit OAuth flow has been completed and the access token is valid. Re-authenticate if needed.
• Validation fails: Check the Data Validation node schema and ensure the formatter node's output exactly matches the required fields (including postFlair: "").
• AI returns malformed JSON: Increase maxFeedbackLoops on the writer node or switch to a larger/more instruction-following model.
• Missing news results: Confirm the DuckDuckGo Search tool has requireToolUse: true and that the writer prompt explicitly instructs tool usage.
• clientId/clientSecret not persisted after save: These fields are sanitized on workflow export by design — enter them directly in the node settings each session.