n8n AUTOMATION: Agentic AI + AI Automation +ChatGPT+Gen AI

Turn a new product idea form submission into an automated, structured email to all managers, including title, description, category, priority, notes, and attachments, enabling immediate, meeting-free alignment.

Automate tracksuits product research with an API-driven workflow that fetches market data, formats it into structured email reports, and supports competitor analysis, sales tracking, and trend monitoring.

Automate research workflows by querying APIs with adjustable topic filters, converting results to html via a code node, and deliver concise email digests to stakeholders.

Automate product research to a Google Sheets workflow, storing articles and images in separate sheets and mapping fields like search query, article title, description, and date using ai features.

Automate image links into Google Sheets with a no-code workflow that writes each image URL to the tracksuit images sheet and article results to tracksuit articles, in parallel.

Turn research images into branded design concepts using a product design concept agent that reasons with ChatGPT to generate precise prompts and edit images, following brand guidelines.

Automate images and concepts using the product design concept agent, retrieving image links via HTTP, editing images with OpenAI, and uploading PNGs to Dropbox via an end-to-end workflow.

See how the product design concept agent brands research images into branded concepts with logos and color. It shows logo replacement and color alignment to brand guidelines.

Automate turning a spreadsheet of project ideas into Jira-ready plans using an AI project planning agent, selecting agile or waterfall approaches and generating epics, phases, and delivery constraints.

Automate project planning with a project planning agent that reads Google Sheets to determine agile or waterfall delivery and generates Jira epics with concise descriptions.

Automate transferring waterfall and agile epics into Jira by cleaning the input, extracting methodology and epics with JavaScript, and creating Jira epics to generate a Gantt-style timeline.

Automate agile and waterfall project planning by generating Jira backlog items, epics, and stories with estimates. Capture acceptance criteria and edge cases through AI agent workflows.

Automate social media content using an AI agent to generate on-brand posts and branded images, leveraging brand guidelines, memory of used images, and a chat-driven workflow to post to LinkedIn.

Learn how module context protocol enables memory and shared data across AI agents to enforce brand guidelines, manage images, and generate compliant social media posts.

Use memory and a model context protocol to centralize brand assets and generate fresh social posts, ensuring new images and consistent brand guidelines across agents.

Learn how to use the Model Context Protocol (MCP) to share brand guidelines and images across AI agents, creating a central source of truth and secure, reusable data workflows.

Leverage retrieval augmented generation (rag) with the Pinecone vector database to build a customer experience chat agent that delivers fast, accurate, scalable support from trusted internal knowledge.

install and configure the pinecone database, generate api credentials, and upload documents via a workflow that converts files to md text and loads them into pinecone for chat-based retrieval.

Train a customer experience chat agent with n8n and generative AI, integrating brand guidelines, memory, and data tools to deliver on-brand, concise support.

learn to automate AI-powered creative workflows with Make, connecting tools like Runway, ChatGPT, and Synthesia to automatically generate, transfer, and localize assets across Dropbox and more.

Learn to build Make automation scenarios by linking apps like Runway to generate images or videos, with scheduling, testing, and inputs-outputs tracking.

Learn to connect Runway ML with Make by creating a Runway–Make connection, obtaining and securely storing your API key, and configuring a Runway module to generate images in a scenario.

Learn to build an end-to-end text-to-image workflow using Runway ML and Make, driving assets from a Dropbox reference image through generation, HTTP conversion, and automated Dropbox delivery.

Extend a text-to-video workflow by duplicating the image-to-video setup in Runway and Make, routing prompts via HTTP to Dropbox for automated space-themed video generation.