From bc2caf50484a61a73772573479a7e9a9bbd976af Mon Sep 17 00:00:00 2001 From: nusquama Date: Wed, 14 Jan 2026 16:16:26 +0800 Subject: [PATCH] creation --- .../readme-12497.md | 532 ++++++++++++++++++ 1 file changed, 532 insertions(+) create mode 100644 workflows/Generate pain-driven content ideas from market signals with GPT-4o, Xpoz MCP, Google Sheets, ClickUp, and Slack-12497/readme-12497.md diff --git a/workflows/Generate pain-driven content ideas from market signals with GPT-4o, Xpoz MCP, Google Sheets, ClickUp, and Slack-12497/readme-12497.md b/workflows/Generate pain-driven content ideas from market signals with GPT-4o, Xpoz MCP, Google Sheets, ClickUp, and Slack-12497/readme-12497.md new file mode 100644 index 000000000..123f3636c --- /dev/null +++ b/workflows/Generate pain-driven content ideas from market signals with GPT-4o, Xpoz MCP, Google Sheets, ClickUp, and Slack-12497/readme-12497.md @@ -0,0 +1,532 @@ +Generate pain-driven content ideas from market signals with GPT-4o, Xpoz MCP, Google Sheets, ClickUp, and Slack + +https://n8nworkflows.xyz/workflows/generate-pain-driven-content-ideas-from-market-signals-with-gpt-4o--xpoz-mcp--google-sheets--clickup--and-slack-12497 + + +# Generate pain-driven content ideas from market signals with GPT-4o, Xpoz MCP, Google Sheets, ClickUp, and Slack + +## 1. Workflow Overview + +**Purpose:** +This workflow runs on a schedule to discover *real, pain-driven market signals* (frustrations, complaints, recurring questions) about a defined niche (here: **n8n automations** + **lead gen/CRM automation**). It uses GPT‑4o + an MCP social/search connector (Xpoz MCP) to extract raw pain points from public discussions, converts them into **creator-ready content ideas**, stores them in **Google Sheets**, creates **ClickUp tasks**, and posts a **Slack summary**. It also includes a dedicated **error alerting path via Gmail**. + +**Target use cases:** +- Ongoing content ideation from real market conversations (B2B SaaS, automation, ops, growth). +- Keeping a marketing team supplied with hooks/angles grounded in authentic user language. +- Building an ops pipeline: ideation → database → task creation → team notification. + +### 1.1 Scheduling & Input Injection +Runs on a schedule and injects the niche + keyword query to drive consistent research scope. + +### 1.2 Raw Market Discovery (Public Signals) +Uses an AI Agent with: +- **GPT‑4o** as the language model +- **Xpoz MCP** as an external tool for public search/social intelligence +to produce *non-JSON* bullet insights of user pain points and language. + +### 1.3 Content Ideation (Structured) +A second AI Agent converts the raw discovery into **JSON-only content ideas** (hook, platform, format, pain point, resonance, CTA). + +### 1.4 Output Normalization +A Code node removes markdown fences, parses JSON, enforces array output, and normalizes field names across possible model output variants. + +### 1.5 Storage, Task Creation, Aggregation & Slack Notification +Each idea is: +- appended to **Google Sheets** (content database), +- turned into a **ClickUp task**, then +- aggregated to generate a short **Slack summary** via GPT‑4o and posted to a channel. + +### 1.6 Error Handling +On any workflow error, the **Error Trigger** sends a Gmail alert containing the failing node name and the error message. + +--- + +## 2. Block-by-Block Analysis + +### Block 1 — Scheduling & Research Inputs +**Overview:** +Starts the workflow periodically and defines the niche/query parameters used by the downstream discovery prompt. + +**Nodes involved:** +- Scheduled Market Discovery Trigger +- Inject Niche and Keyword Parameters + +#### Node: Scheduled Market Discovery Trigger +- **Type / role:** `scheduleTrigger` — entry point; launches executions on a schedule. +- **Configuration (interpreted):** Interval schedule is enabled but not explicitly detailed in the exported JSON (`interval: [{}]`). In n8n UI, this typically means the schedule must be configured (e.g., every day/hour). +- **Outputs:** Sends one item into the flow. +- **Connections:** → Inject Niche and Keyword Parameters +- **Edge cases / failures:** + - Misconfigured schedule can result in never firing or firing too often. + - Timezone considerations: schedule uses instance timezone settings. + +#### Node: Inject Niche and Keyword Parameters +- **Type / role:** `set` — injects constants for the prompts. +- **Configuration:** + - Sets `body.niche = "n8n automations"` + - Sets `body.query = "lead generation and CRM automation using n8n"` +- **Key variables:** Uses expressions with string literals (`=...`). +- **Connections:** ← Scheduled Market Discovery Trigger; → Extract Raw User Pain Points… +- **Edge cases / failures:** + - If you later change prompt expectations and forget to update these fields, downstream prompts may be mismatched. + - Naming uses `body.*`; ensure downstream nodes reference the same path. + +**Sticky note covering this block:** +- “## Scheduling & Research Inputs + Controls when discovery runs and defines the niche and keyword focus.” + +--- + +### Block 2 — Raw Market Discovery (Public Signals) +**Overview:** +An AI Agent uses GPT‑4o plus a connected MCP tool (Xpoz) to scan public discussions and return raw bullet insights (explicitly **not JSON**). + +**Nodes involved:** +- Extract Raw User Pain Points from Public Discussions (AI) +- OpenAI Reasoning Engine for Market Discovery +- Public Search & Social Intelligence Connector (MCP) + +#### Node: OpenAI Reasoning Engine for Market Discovery +- **Type / role:** `lmChatOpenAi` — provides GPT‑4o as the agent’s language model. +- **Configuration:** + - Model: `gpt-4o` + - Responses API disabled (`responsesApiEnabled: false`) +- **Credentials:** OpenAI (`OpenAi account 2`) +- **Connections:** Outputs via `ai_languageModel` → Extract Raw User Pain Points… +- **Edge cases / failures:** + - Auth/quota errors (401/429), model availability changes, latency/timeouts. + - Output variability: even with instructions, the model may add headings or extra text. + +#### Node: Public Search & Social Intelligence Connector (MCP) +- **Type / role:** `mcpClientTool` — tool connector for the agent (retrieval/search across platforms). +- **Configuration:** + - Endpoint: `https://mcp.xpoz.ai/mcp` + - Auth: Bearer token +- **Credentials:** HTTP Bearer Auth (`saurabh xpoz`) +- **Connections:** Outputs via `ai_tool` → Extract Raw User Pain Points… +- **Edge cases / failures:** + - MCP endpoint downtime, auth failure, rate limits. + - Tool output schema changes can degrade the agent’s effectiveness. + +#### Node: Extract Raw User Pain Points from Public Discussions (AI) +- **Type / role:** `langchain.agent` — orchestrates tool use + LLM to produce discovery notes. +- **Configuration choices:** + - Prompt includes: + - Niche: `{{ $json.body.niche }}` + - Keywords: `{{ $json.body.query }}` + - Instructions: scan public discussions, extract repeated pain points/questions/frustrations, user language, tool mentions; **no solutions**; **no JSON**. + - System message enforces neutrality, public info only, no solutions, no JSON, no conclusions. + - `maxIterations: 30` (agent can loop tool calls/thought steps up to this limit). + - `hasOutputParser: true` (agent node expects structured handling internally; final output is still plain text in `output`). +- **Inputs:** Receives the `body.*` fields from the Set node; also receives tool + LLM from the two connected AI ports. +- **Outputs:** Produces `item.json.output` containing the raw discovery text. +- **Connections:** → Generate Pain-Driven Content Ideas… +- **Edge cases / failures:** + - Tool returns irrelevant data → agent output drifts. + - Agent may still output semi-structured lists with markdown, which is fine for the next step. + - Iteration limit reached → partial output or failure depending on node behavior. + +**Sticky note covering this block:** +- “## Raw Market Discovery + Extracts real user pain points and language from public discussions.” + +--- + +### Block 3 — Content Ideation (Structured JSON) +**Overview:** +A second AI Agent transforms the raw discovery output into **content ideas** and must return **ONLY valid JSON**. + +**Nodes involved:** +- Generate Pain-Driven Content Ideas from Market Signals (AI) +- OpenAI Reasoning Engine for Content Ideation + +#### Node: OpenAI Reasoning Engine for Content Ideation +- **Type / role:** `lmChatOpenAi` — GPT‑4o model for ideation agent. +- **Configuration:** + - Model: `gpt-4o` + - Responses API disabled +- **Credentials:** OpenAI (`OpenAi account 2`) +- **Connections:** `ai_languageModel` → Generate Pain-Driven Content Ideas… +- **Edge cases / failures:** + - Same OpenAI risks: quota/rate limits, timeouts, output variability. + +#### Node: Generate Pain-Driven Content Ideas from Market Signals (AI) +- **Type / role:** `langchain.agent` — generates structured ideas. +- **Configuration choices:** + - Prompt injects raw discovery: `{{ $json.output }}` + - Requires per idea: + - hook, best platform, format, pain point, resonance reason, CTA + - Strong constraints: avoid generic advice/tutorial tone; “Return ONLY valid JSON”. + - System message frames the model as senior content strategist; demands creator-ready, no fluff. + - `maxIterations: 30` (agent can iterate; though no tool is attached here—only the LLM). +- **Input:** From discovery agent output. +- **Output:** Expects `item.json.output` to be JSON text (string). +- **Connections:** → Normalize and Parse Content Ideas Output +- **Edge cases / failures:** + - Model returns markdown code fences (common) — handled by the next Code node. + - Model returns an object instead of an array — Code node will throw. + - Invalid JSON due to trailing commas/quotes — Code node will throw. + +**Sticky note covering this block:** +- “## Content Ideation + Converts real pain points into platform-ready content ideas.” + +--- + +### Block 4 — Output Normalization +**Overview:** +Cleans the ideation output, parses JSON safely, validates it’s an array, and normalizes fields to a consistent schema for downstream storage/tools. + +**Nodes involved:** +- Normalize and Parse Content Ideas Output + +#### Node: Normalize and Parse Content Ideas Output +- **Type / role:** `code` — parsing/validation/normalization. +- **Configuration (logic interpreted):** + 1. Takes first incoming item: `$input.first()` + 2. Ensures `item.json.output` exists; else throws “Missing AI output”. + 3. Strips markdown fences ```json / ``` from the raw string. + 4. `JSON.parse(raw)`; on failure throws “Failed to parse…”. + 5. Ensures the parsed result is an **array**; else throws. + 6. Normalizes each array element: + - Supports “new format” where each item may be nested under `content_idea`. + - Maps multiple possible key variants to standard keys: + - `platform` from `platform` or `best_platform` + - `content_format` from `format` or `content_format` + - `content_hook` from `hook` or `content_hook` + - `pain_point` from `pain_point` or `core_pain_point_addressed` + - `why_it_resonates` from `reason_resonate` or `why_this_content_will_resonate` + - `cta` from `cta` or `suggested_CTA` + - Adds defaults (“Unknown”, “Post”, or empty string) + 7. Returns one n8n item per content idea. +- **Connections:** Fan-out to three nodes: + - → Append Content Ideas to Content Database (Google Sheets) + - → Create Content Task in ClickUp + - → Aggregate Generated Content Ideas +- **Edge cases / failures:** + - If the AI returns a top-level object like `{ ideas: [...] }`, this will fail (not an array). + - If the AI returns comments or trailing text after JSON, parse fails. + - If the AI returns very large JSON arrays, downstream API rate limits may occur (Sheets/ClickUp). + +**Sticky note covering this block:** +- “## Output Normalization + Cleans and standardizes AI-generated content ideas.” + +--- + +### Block 5 — Content Storage & Task Creation +**Overview:** +Persists each normalized content idea to Google Sheets and creates a corresponding ClickUp task for execution. + +**Nodes involved:** +- Append Content Ideas to Content Database +- Create Content Task in ClickUp + +#### Node: Append Content Ideas to Content Database +- **Type / role:** `googleSheets` — appends rows into a spreadsheet tab (“content database”). +- **Configuration:** + - Operation: **Append** + - Document: Spreadsheet ID `17rcNd_ZpUQLm0uWEVbD-NY6GyFUkrD4BglvawlyBygM` + - Sheet/tab: GID `869555007` (“content database”) + - Column mapping (from normalized fields): + - Platform, Content Format, Content Hook, Pain Point, Why It Resonates, CTA + - Status: hardcoded `"New"` + - Created At: `{{$now}}` +- **Credentials:** Google Sheets OAuth2 (`automations@techdome.ai`) +- **Inputs:** One item per content idea. +- **Outputs:** Appended-row result(s) from Google Sheets (not used downstream directly). +- **Edge cases / failures:** + - Sheet renamed or columns changed → append may fail or write to wrong columns. + - OAuth token expiry / missing permissions. + - Rate limiting if many ideas are generated at once. + +#### Node: Create Content Task in ClickUp +- **Type / role:** `clickUp` — creates a task per idea. +- **Configuration:** + - Team: `9014872066` + - Space: `90143686913` + - Folder: `90147011966` + - List: `901412736351` + - Task name: `{{$json.content_hook}}` + - Status: `"to do"` + - Task content/body concatenates: platform, format, pain point, why it resonates, CTA +- **Credentials:** ClickUp API (`ClickUp account 3`) +- **Inputs:** One item per content idea. +- **Outputs:** Created task data (not used further). +- **Edge cases / failures:** + - Invalid list/team IDs, or status name mismatch (“to do” must exist in the list). + - Rate limits on ClickUp when many tasks are created. + - Task name too long (content_hook can be lengthy) → consider truncation. + +**Sticky note covering this block:** +- “## Content Storage & Task Creation + Stores ideas and creates execution tasks for the content team.” + +--- + +### Block 6 — Aggregation & Team Notification +**Overview:** +Aggregates all generated ideas, uses GPT‑4o to produce a skimmable Slack summary (count, platforms, top hooks), and posts it to a Slack channel. + +**Nodes involved:** +- Aggregate Generated Content Ideas +- Generate Slack Summary of Content Ideas +- OpenAI Reasoning Engine for Slack Summary +- Send Content Ideation Summary to Slack Channel + +#### Node: Aggregate Generated Content Ideas +- **Type / role:** `aggregate` — merges multiple idea items into one payload for summarization. +- **Configuration:** + - Mode: aggregate all item data (`aggregateAllItemData`) +- **Inputs:** Multiple items (one per idea) from normalization. +- **Outputs:** A single aggregated item passed to the Slack-summary agent. +- **Edge cases / failures:** + - If upstream generates zero ideas, aggregation behavior may produce empty arrays; summary agent must handle it (it likely will, but not guaranteed). + +#### Node: OpenAI Reasoning Engine for Slack Summary +- **Type / role:** `lmChatOpenAi` — GPT‑4o for summarization. +- **Configuration:** Model `gpt-4o` +- **Credentials:** OpenAI (`OpenAi account 2`) +- **Connections:** `ai_languageModel` → Generate Slack Summary of Content Ideas +- **Edge cases:** quota/rate limits/timeouts. + +#### Node: Generate Slack Summary of Content Ideas +- **Type / role:** `langchain.agent` — writes Slack message text. +- **Configuration:** + - Prompt uses: `{{ JSON.stringify($input.all().map(i => i.json), null, 2) }}` + - Note: because this node follows an Aggregate node, `$input.all()` may contain one aggregated item (depending on Aggregate output structure). If the Aggregate node outputs a single item containing an array, this prompt may not reflect the real list of ideas as intended. + - Requirements: short, skimmable, total count, platforms, top 3 hooks; “Return ONLY the Slack message text.” + - Allows light emoji use. +- **Outputs:** `item.json.output` containing Slack-ready text. +- **Connections:** → Send Content Ideation Summary to Slack Channel +- **Edge cases / failures:** + - If the prompt input doesn’t include the full set of ideas (due to aggregation shape), the summary may be incomplete. + - The model might include extra formatting; Slack can handle basic formatting, but the next node posts raw text. + +#### Node: Send Content Ideation Summary to Slack Channel +- **Type / role:** `slack` — posts a message to a channel. +- **Configuration:** + - Channel: `C09GNB90TED` (“general-information”) + - Text: `{{ $json.output }}` +- **Credentials:** Slack API (`Slack account vivek`) +- **Edge cases / failures:** + - Missing scopes (e.g., `chat:write`), channel not accessible, token revoked. + - Posting too frequently can hit Slack rate limits. + +**Sticky note covering this block:** +- “## Aggregation & Team Notification + Summarizes content ideas and notifies the team in Slack.” + +--- + +### Block 7 — Error Handling +**Overview:** +Any node failure triggers an alternate execution path that emails an alert with node name, error message, and timestamp. + +**Nodes involved:** +- Workflow Error Handler +- Send a message1 + +#### Node: Workflow Error Handler +- **Type / role:** `errorTrigger` — secondary entry point fired on workflow errors. +- **Configuration:** Default; triggers when any node in the workflow errors. +- **Connections:** → Send a message1 +- **Edge cases / failures:** + - If the error is caused by credential-wide outage, Gmail may also fail; consider adding Slack alert fallback. + +#### Node: Send a message1 +- **Type / role:** `gmail` — sends an email alert. +- **Configuration:** + - Subject: “Workflow Error Alert” + - Body includes: + - Error Node: `{{ $json.node.name }}` + - Error Message: `{{ $json.error.message }}` + - Timestamp: `{{ $now.toISO() }}` + - Email type: text +- **Credentials:** (Not shown in node, but required in n8n) Gmail OAuth2. +- **Edge cases / failures:** + - Gmail OAuth expired, missing permission to send. + - Message includes an emoji and Slack-like formatting; in plain text email it will still be readable. + +**Sticky note covering this block:** +- “## Error Handling + Sends alerts when the workflow fails” + +--- + +## 3. Summary Table + +| Node Name | Node Type | Functional Role | Input Node(s) | Output Node(s) | Sticky Note | +|---|---|---|---|---|---| +| Scheduled Market Discovery Trigger | Schedule Trigger | Scheduled entry point | — | Inject Niche and Keyword Parameters | ## Scheduling & Research Inputs; Controls when discovery runs and defines the niche and keyword focus. | +| Inject Niche and Keyword Parameters | Set | Defines `body.niche` and `body.query` | Scheduled Market Discovery Trigger | Extract Raw User Pain Points from Public Discussions (AI) | ## Scheduling & Research Inputs; Controls when discovery runs and defines the niche and keyword focus. | +| Extract Raw User Pain Points from Public Discussions (AI) | LangChain Agent | Market discovery from public discussions using LLM + MCP tool | Inject Niche and Keyword Parameters; (AI) OpenAI Reasoning Engine for Market Discovery; (AI Tool) Public Search & Social Intelligence Connector (MCP) | Generate Pain-Driven Content Ideas from Market Signals (AI) | ## Raw Market Discovery; Extracts real user pain points and language from public discussions. | +| OpenAI Reasoning Engine for Market Discovery | OpenAI Chat Model (LangChain) | GPT‑4o model for discovery agent | — | Extract Raw User Pain Points from Public Discussions (AI) (ai_languageModel) | ## Raw Market Discovery; Extracts real user pain points and language from public discussions. | +| Public Search & Social Intelligence Connector (MCP) | MCP Client Tool | External search/social intelligence tool access | — | Extract Raw User Pain Points from Public Discussions (AI) (ai_tool) | ## Raw Market Discovery; Extracts real user pain points and language from public discussions. | +| Generate Pain-Driven Content Ideas from Market Signals (AI) | LangChain Agent | Converts raw discovery into JSON content ideas | Extract Raw User Pain Points from Public Discussions (AI); (AI) OpenAI Reasoning Engine for Content Ideation | Normalize and Parse Content Ideas Output | ## Content Ideation; Converts real pain points into platform-ready content ideas. | +| OpenAI Reasoning Engine for Content Ideation | OpenAI Chat Model (LangChain) | GPT‑4o model for ideation agent | — | Generate Pain-Driven Content Ideas from Market Signals (AI) (ai_languageModel) | ## Content Ideation; Converts real pain points into platform-ready content ideas. | +| Normalize and Parse Content Ideas Output | Code | Strips fences, parses JSON array, normalizes keys | Generate Pain-Driven Content Ideas from Market Signals (AI) | Append Content Ideas to Content Database; Create Content Task in ClickUp; Aggregate Generated Content Ideas | ## Output Normalization; Cleans and standardizes AI-generated content ideas. | +| Append Content Ideas to Content Database | Google Sheets | Appends each idea to a sheet (content DB) | Normalize and Parse Content Ideas Output | — | ## Content Storage & Task Creation; Stores ideas and creates execution tasks for the content team. | +| Create Content Task in ClickUp | ClickUp | Creates a task per idea | Normalize and Parse Content Ideas Output | — | ## Content Storage & Task Creation; Stores ideas and creates execution tasks for the content team. | +| Aggregate Generated Content Ideas | Aggregate | Aggregates all idea items for summarization | Normalize and Parse Content Ideas Output | Generate Slack Summary of Content Ideas | ## Aggregation & Team Notification; Summarizes content ideas and notifies the team in Slack. | +| Generate Slack Summary of Content Ideas | LangChain Agent | Produces Slack-ready summary text | Aggregate Generated Content Ideas; (AI) OpenAI Reasoning Engine for Slack Summary | Send Content Ideation Summary to Slack Channel | ## Aggregation & Team Notification; Summarizes content ideas and notifies the team in Slack. | +| OpenAI Reasoning Engine for Slack Summary | OpenAI Chat Model (LangChain) | GPT‑4o model for Slack summarizer | — | Generate Slack Summary of Content Ideas (ai_languageModel) | ## Aggregation & Team Notification; Summarizes content ideas and notifies the team in Slack. | +| Send Content Ideation Summary to Slack Channel | Slack | Posts summary to Slack channel | Generate Slack Summary of Content Ideas | — | ## Aggregation & Team Notification; Summarizes content ideas and notifies the team in Slack. | +| Workflow Error Handler | Error Trigger | Catches workflow errors | — | Send a message1 | ## Error Handling; Sends alerts when the workflow fails | +| Send a message1 | Gmail | Emails error alert | Workflow Error Handler | — | ## Error Handling; Sends alerts when the workflow fails | +| Sticky Note | Sticky Note | Header/workflow explanation | — | — | ## 📣 Generate Pain-Driven Content Ideas from Market Signals using GPT-4o, XPOZ MCP, ClickUp, and Google Sheets; How it works + Setup steps. | +| Sticky Note1 | Sticky Note | Comment block | — | — | ## Scheduling & Research Inputs; Controls when discovery runs and defines the niche and keyword focus. | +| Sticky Note2 | Sticky Note | Comment block | — | — | ## Raw Market Discovery; Extracts real user pain points and language from public discussions. | +| Sticky Note3 | Sticky Note | Comment block | — | — | ## Content Ideation; Converts real pain points into platform-ready content ideas. | +| Sticky Note4 | Sticky Note | Comment block | — | — | ## Output Normalization; Cleans and standardizes AI-generated content ideas. | +| Sticky Note5 | Sticky Note | Comment block | — | — | ## Content Storage & Task Creation; Stores ideas and creates execution tasks for the content team. | +| Sticky Note6 | Sticky Note | Comment block | — | — | ## Aggregation & Team Notification; Summarizes content ideas and notifies the team in Slack. | +| Sticky Note7 | Sticky Note | Comment block | — | — | ## Error Handling; Sends alerts when the workflow fails | + +--- + +## 4. Reproducing the Workflow from Scratch + +1. **Create a new workflow** in n8n + - Name it: *Generate pain-driven content ideas from market signals using AI* (or your preferred name). + - Ensure workflow **Settings → Execution Order** is set to **v1** (to match the export). + +2. **Add Schedule Trigger** + - Node: **Schedule Trigger** + - Configure the cadence (e.g., daily, hourly). + - Connect it to the next node. + +3. **Add Set node for inputs** + - Node: **Set** + - Add fields: + - `body.niche` (String) = `n8n automations` + - `body.query` (String) = `lead generation and CRM automation using n8n` + - Connect: Schedule Trigger → Set + +4. **Add MCP tool connector (Xpoz MCP)** + - Node: **MCP Client Tool** (LangChain) + - Endpoint URL: `https://mcp.xpoz.ai/mcp` + - Authentication: **Bearer Auth** + - Create credential: **HTTP Bearer Auth** + - Paste your Xpoz MCP token. + - This node will be connected to the discovery agent via the **ai_tool** port. + +5. **Add OpenAI Chat Model (for discovery)** + - Node: **OpenAI Chat Model** (LangChain `lmChatOpenAi`) + - Model: `gpt-4o` + - Create/OpenAI credential with your API key. + - Connect to discovery agent via **ai_languageModel** port. + +6. **Add AI Agent for market discovery** + - Node: **AI Agent** (LangChain Agent) + - Prompt (Text) should: + - Reference `{{ $json.body.niche }}` and `{{ $json.body.query }}` + - Instruct: scan public discussions, extract pain points/questions/language, **no solutions**, **no JSON** + - Set **Max Iterations** to `30`. + - System message: enforce neutral discovery behavior and “no JSON”. + - Connections: + - Main: Set → Discovery Agent + - AI ports: + - OpenAI (discovery) → Discovery Agent (`ai_languageModel`) + - MCP Tool → Discovery Agent (`ai_tool`) + +7. **Add OpenAI Chat Model (for ideation)** + - Node: **OpenAI Chat Model** (LangChain) + - Model: `gpt-4o` + - Use the same OpenAI credential (or a different one). + - Connect to ideation agent via **ai_languageModel**. + +8. **Add AI Agent for content ideation** + - Node: **AI Agent** + - Prompt should: + - Inject discovery text via `{{ $json.output }}` + - Require: hook, platform, format, pain point, why it resonates, CTA + - Require: **Return ONLY valid JSON** (array of ideas) + - Set **Max Iterations** to `30`. + - Connect: Discovery Agent → Ideation Agent (main) + - Connect OpenAI ideation model to this agent via **ai_languageModel**. + +9. **Add Code node to parse/normalize** + - Node: **Code** + - Paste logic that: + - Validates `item.json.output` + - Strips ```json fences + - Parses JSON, enforces array + - Normalizes keys to: + - `platform`, `content_format`, `content_hook`, `pain_point`, `why_it_resonates`, `cta` + - Connect: Ideation Agent → Code + +10. **Add Google Sheets append node** + - Node: **Google Sheets** + - Credentials: Google Sheets OAuth2 (ensure access to the target spreadsheet). + - Operation: **Append** + - Select the spreadsheet and the sheet/tab (your “content database”). + - Map columns to fields from Code output: + - Platform ← `{{$json.platform}}` + - Content Format ← `{{$json.content_format}}` + - Content Hook ← `{{$json.content_hook}}` + - Pain Point ← `{{$json.pain_point}}` + - Why It Resonates ← `{{$json.why_it_resonates}}` + - CTA ← `{{$json.cta}}` + - Status ← `"New"` + - Created At ← `{{$now}}` + - Connect: Code → Google Sheets + +11. **Add ClickUp create task node** + - Node: **ClickUp** + - Credentials: ClickUp API token/OAuth with access to the workspace. + - Operation: **Create Task** + - Configure Team/Space/Folder/List to your target list. + - Task name: `{{$json.content_hook}}` + - Additional fields: + - Status: `"to do"` (must exist in the list) + - Content/Description: include platform, format, pain point, why it resonates, CTA + - Connect: Code → ClickUp + +12. **Add Aggregate node** + - Node: **Aggregate** + - Mode: **Aggregate All Item Data** + - Connect: Code → Aggregate + +13. **Add OpenAI Chat Model (for Slack summary)** + - Node: **OpenAI Chat Model** (LangChain) + - Model: `gpt-4o` + - Connect to Slack summary agent via **ai_languageModel**. + +14. **Add AI Agent to write Slack summary** + - Node: **AI Agent** + - Prompt: stringify incoming idea items; require total count, platforms, top 3 hooks; return **only message text**. + - Connect: Aggregate → Slack Summary Agent + - Connect OpenAI summary model → Slack Summary Agent (`ai_languageModel`) + +15. **Add Slack node to post message** + - Node: **Slack** + - Credentials: Slack OAuth/token with `chat:write`. + - Operation: send message to channel + - Channel: pick your marketing/growth channel + - Text: `{{$json.output}}` + - Connect: Slack Summary Agent → Slack node + +16. **Add error handling path** + - Node: **Error Trigger** + - Node: **Gmail** (send email) + - Subject: “Workflow Error Alert” + - Message body using: + - `{{ $json.node.name }}` + - `{{ $json.error.message }}` + - `{{ $now.toISO() }}` + - Connect: Error Trigger → Gmail + - Configure Gmail OAuth2 credentials. + +17. **(Optional) Add Sticky Notes** + - Add note blocks for: Scheduling & Inputs, Raw Discovery, Content Ideation, Normalization, Storage/Tasks, Slack Notification, Error Handling. + +--- + +## 5. General Notes & Resources + +| Note Content | Context or Link | +|---|---| +| “## 📣 Generate Pain-Driven Content Ideas from Market Signals using GPT-4o, XPOZ MCP, ClickUp, and Google Sheets” | Workflow header sticky note (overview + setup steps) | +| Setup steps listed in the workflow note: schedule frequency; update niche/keywords; connect OpenAI; connect MCP (Xpoz); configure Google Sheets + ClickUp; select Slack channel | Embedded in the main sticky note | +| Disclaimer (provided by user): “Le texte fourni provient exclusivement…” | General compliance note (not tied to a node) | \ No newline at end of file