Webhook and ClickUp integration

AI-powered Meeting Summaries and Action Items to Slack and ClickUp How it Works Webhook Trigger: The workflow starts when Fireflies notifies that a transcription has finished. Transcript Retrieval: The transcript is pulled from Fireflies based on the meeting ID. Pre-processing: The transcript is split into sentences and then aggregated into a raw text block. AI Summarization: The aggregated transcript is sent to Google Gemini, which generates a short summary and a structured list of action items. Post-processing: The AI response is cleaned and formatted into JSON. Action items are mapped to titles and descriptions. Distribution: The meeting summary is posted to Slack. Action items are created as tasks in ClickUp. Use Case This workflow is designed for teams that want to reduce the manual effort of writing meeting notes and extracting action items. Automatically generate a clear and concise meeting summary Share the summary instantly with your team on Slack Ensure action items are not lost by automatically creating tasks in ClickUp Ideal for distributed teams, project managers, and product teams managing recurring meetings Requirements n8n instance** set up and running Fireflies.ai account** with API access to meeting transcripts Google Gemini API (via PaLM credentials)** for AI-powered summarization Slack account** with OAuth2 credentials connected in n8n ClickUp account** with OAuth2 credentials connected in n8n

📘 Description This workflow is a fully automated AI matte painting generation system for VFX pipelines, designed to convert a single environment prompt into multiple cinematic background variations. It handles generation, validation, multi-variant rendering, compositing preparation, review workflows, and final delivery—eliminating manual coordination between artists, supervisors, and production systems. ⚙️ Step-by-Step Flow The process begins with a webhook trigger that serves as the shot request intake layer, receiving a POST request containing the environment prompt, shot code, optional plate image URL, and metadata such as project, sequence, and supervisor details. This input is then passed through a validation and normalization stage, ensuring all required fields are present while standardizing elements like sequence codes, project IDs, Slack channels, and timestamps. Once validated, the system fans out the request into four distinct cinematic variations—day (overcast realism), dusk (golden hour lighting), night (moonlit cinematic), and fog (atmospheric depth)—with each variant assigned a custom-engineered prompt. At the core of the workflow, a dynamic mode selection logic determines whether to use image-to-video generation (if a plate image is provided) or text-to-video generation (if no reference is available), while also configuring parameters such as audio generation, aspect ratio, and duration. Each variation is then submitted as an independent job to the Seedance API for AI video generation, returning unique job IDs for tracking. A polling loop handles asynchronous processing by checking the status of each job every 20 seconds until all reach a “succeeded” state, operating independently per variation. Once completed, the system constructs detailed metadata for each asset, including video URL, atmosphere type, variant ID, resolution, duration, and tags such as AI-generated and review status. In parallel, it generates an auto-configured Nuke compositing template with pre-built nodes for plate input, AI background, merge setup, color grading placeholders, and output writing. For production tracking, a Jira review task is created for each variation, while all assets are logged within the ClickUp system. An aggregation layer then consolidates all four variations into a single structured summary, formatted for seamless Slack delivery. A Slack notification is sent to the supervisor with the complete review package, including links to all variations, Jira tickets, inline Nuke scripts, and associated metadata. Finally, the system downloads the generated video assets and completes the workflow by sending an email to the requester with the video attachments and full production context, ensuring a smooth end-to-end delivery pipeline. 🚨 Error Handling • Global error trigger • Instant Slack alert • Prevents silent failures across pipeline 🧩 Prerequisites • Seedance API (video generation) • Slack OAuth2 • Gmail OAuth2 • Jira Cloud • ClickUp API • Webhook integration (input system) 💡 Key Benefits ✔ Parallel generation of multiple cinematic variations ✔ Automatic decision between image-to-video vs text-to-video ✔ Built-in compositing (Nuke script auto-generation) ✔ Full production pipeline (generation → review → delivery) ✔ Async-safe with polling loop ✔ Centralized asset tracking (Jira + ClickUp) ✔ Zero manual VFX coordination 👥 Perfect For VFX studios Film/TV production pipelines AI-driven matte painting workflows Previsualization teams Creative automation systems

Overview: Automated Vacancy Launch & AI Marketing This workflow streamlines the entire job opening process by connecting your ATS to your operational and marketing tools. It not only manages deadlines but also automates the promotion of the vacancy. Key Features: Schedule: Creates SLA and Expiration events in Google Calendar based on ATS dates. Track: Creates a central task in ClickUp to manage the selection process. Content Generation: Uses GPT-4o to analyze the job description and write a compelling marketing post. Publish: Automatically posts the job to LinkedIn and logs the action back in the ClickUp task. Setup Instructions Webhook: Configure your Recrutei ATS (or similar) to trigger this workflow. Google Calendar: Select the calendar for deadline tracking. ClickUp: Map the Team, Space, and List where vacancy tasks should be created. OpenAI: Ensure you have a valid API Key. LinkedIn: Connect your profile or company page.

This workflow converts raw ClickUp task updates—received directly through a webhook—into fully automated release documentation. It validates incoming payloads, fetches and cleans task details, enriches them with AI-generated metadata, produces structured release notes using GPT-4o, publishes them to Notion, notifies stakeholders on Slack, emails a formatted summary, and logs the release into Google Sheets. The system handles malformed events gracefully by logging invalid payloads and continues only when a valid task_id is present. It extracts structured fields (title, description, links, priority, assignee), then augments them with AI-driven classifications such as risk level, change type, module, and impact score. GPT-4o generates polished release notes following a strict template. Finally, the workflow distributes the release across multiple channels while maintaining an auditable, centralized history. ⚙️ What This Workflow Does (Step-by-Step) 🟢 Webhook — Receive ClickUp Task Update Captures incoming events from ClickUp via POST and forwards the raw body for parsing. 🧹 Code in JavaScript — Extract task_id Parses the raw webhook body and safely extracts task_id. Invalid JSON → forwarded to error logging. 🔍 Validate Incoming ClickUp Task Event Checks if task_id exists. Valid → continue workflow Invalid → log error to Google Sheets 📄 Fetch Full Task Details from ClickUp Retrieves full task metadata: title, description, status, priority, links, assignee details, and due date. 🧩 Extract Clean Task Fields from ClickUp Data Normalizes and structures the task fields into a clean, usable JSON object. 🧠 Provide GPT-4o Model for Metadata Extraction Loads the language model for metadata generation. 🔍 Generate Release Metadata via AI AI generates structured metadata including: • risk_level • change_type • module • impact_score • requires_testing 🧹 Parse AI Metadata JSON Output Parses stringified JSON from the AI node into valid structured JSON. Malformed metadata → returned as an error object. 🔀 Merge Task Details with Metadata Combines clean task fields with AI-generated metadata into a complete release-ready object. 🧠 Provide GPT-4o Model for Release Notes Supplies the language model needed to generate formal release notes. ✍️ Generate Structured Release Notes via AI Produces uniform release notes containing: • Summary • Improvements & Features • Bug Fixes • Impact Analysis • Known Issues 📝 Extract Release Notes Title & Final Output Extracts title from markdown and prepares final content for publishing. 📘 Create Release Notes Page in Notion Saves the release notes as a new page in the Notion Release Notes database. 💬 Post Release Announcement to Slack Sends formatted release notes + Notion link to the specified Slack user/channel. 📧 Send Release Summary Email Sends a structured HTML email with the release summary, full notes, and Notion link. 📊 Append Release Log Entry to Google Sheet Writes a complete release log entry including: • task ID • title • priority • module • risk level • Notion URL • Slack message URL • release date 🛑 Log Invalid ClickUp Events to Google Sheet Stores any invalid or incomplete webhook payload for debugging and auditing. 🧩 Prerequisites • ClickUp API token • Public webhook endpoint in n8n • Azure OpenAI GPT-4o credentials • Notion API integration • Slack API token • Google Sheets OAuth • Gmail OAuth 💡 Key Benefits ✔ Converts ClickUp updates directly into finished release documentation ✔ AI-powered metadata ensures consistent classification ✔ Instant multi-channel dissemination: Slack + Email + Notion ✔ Automatic logging for audit, QA, and release governance ✔ Eliminates manual writing, formatting, and cross-platform updates 👥 Perfect For Product teams running constant sprints Engineering teams needing reliable release documentation Teams using ClickUp as their primary task manager Organizations with multi-channel release communication needs

How it works This workflow automates the classification and routing of incoming Intercom conversations. When a new customer message arrives, it is analyzed by AI to determine category, sentiment, urgency, and tags. Based on this classification, the workflow creates tasks in ClickUp for Support or Product requests, or sends real-time alerts to Slack for Sales inquiries. Step-by-step Webhook Intake Triggered when Intercom sends a new conversation payload. Captures customer details, message content, and metadata. AI Classification Sends the conversation JSON to OpenAI (gpt-4o-mini) with a structured prompt. AI returns a JSON object with category (Support, Product, Sales, Other), sentiment, urgency, reasoning, and tags. Processing & Structuring A Code node parses the AI output and merges it with conversation details. Prepares formatted task fields such as title, description, customer info, and priority. Conditional Routing Support requests → Task created in ClickUp with urgency and tags. Product requests → Task created in ClickUp with structured details. Sales inquiries → Slack alert sent to the Sales channel with context and AI reasoning. Other → No task/action triggered. Benefits Automates Intercom ticket triage and routing in real time. Ensures consistent, AI-driven classification of all customer conversations. Reduces manual review time for Support, Product, and Sales teams. Creates structured tasks with enriched metadata for faster resolution. Keeps Sales teams instantly informed with Slack alerts for urgent leads.

Create new Clickup Tasks from Slack commands This workflow aims to make it easy to create new tasks on Clickup from normal Slack messages using simple slack command. For example We can have a slack command as /newTask Set task to update new contacts on CRM and assign them to the sales team This will have an new task on Clickup with the same title and description on Clickup For most teams, getting tasks from Slack to Clickup involves manually entering the new tasks into Clickup. What if we could do this with a simple slash command? Step 1 The first step is to Create an endpoint URL for your slack command by creating an events API from the link [below] https://api.slack.com/apps/) STEP 2 Next step is defining the endpoint for your URL Create a new webhook endpoint from your n8n with a POST and paste the endpoint URL to your event API. This will send all slash commands associated with the Slash to the desired endpoint Step 3 Log on to slack API (https://api.slack.com/) and create an application. This is the one we use to run all automation and commands from Slack. Once your app is ready, navigate to the Slash Commands and create a new command This will include the command, the webhook URL and a description of what the slash command is all about Now that this is saved you can do a test by sending a demo task to your endpoint Once you have tested the webhook slash command is working with the webhook, create a new Clickup API that can be used to create new tasks in ClickUp This workflow creates a new task with the start dates on Clikup that can be assigned to the respective team members More details about the document setup can be found on this document below Happy Productivity