Workflow overview
Why this workflow matters
Relevant for managed services and support workflows. Supports knowledge capture and document intelligence use cases.
š What the āAgent Builderā template does Need to turn a one-line chat request into a fully-wired AlekSystem workflow templateācomplete with AI agents, RAG, and web-search super-powersāwithout lifting a finger? Thatās exactly what Agent Builder automates: Listens to any incoming chat message (via the Chat Trigger). Spins up an AI architect that analyses the request, searches the web, reads AlekSystem docs from a Pinecone vector store, and designs the smallest possible set of nodes. Auto-generates a ready-to-import JSON template and hands it back as a downloadable fileāplus all the supporting assets (embeddings, vector store etc.) so the next prompt is even smarter. Think of it as your personal āworkflow chefā: you shout the order, it shops for ingredients, cooks, plates, and serves the meal. All you do is eat. š¤ Who will love this? No-code builders / power users** who donāt want to wrestle with AI node wiring. Agencies & consultants** delivering lots of bespoke automations. Internal platform teams** who need a āworkflow self-service portalā for non-technical colleagues. š§© How itās wired | Sub-process | What happens inside | Key nodes | | -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------------------------------------------------------------------------- | | Web Crawler (optional) | Firecrawl scrapes docs.AlekSystem.io (or any URL you drop in) and streams raw markdown back. | Set URL ā HTTP Request (Extract) ā Wait & Retry | | RAG Trainer | Splits the scraped docs, embeds them with OpenAI, and upserts vectors into Pinecone. | Recursive Text Splitter ā Embeddings OpenAI ā Train Pinecone | | Agent Builder | The star of the show ā orchestrates GPT-4o (via OpenRouter), SerpAPI web-search, your Pinecone index and a Structured Output Parser to produce ā validate ā prettify the final AlekSystem template. | Chat Trigger ā AI Agent ā OpenAI (validator) ā Code (extract) ā Convert to JSON file | Every arrow in the drawn workflow is pre-connected, so the generated template always passes AlekSystemās import check. š ļø Getting set up (5 quick creds) | Service | Credential type | | --------------------------------------------------- | ---------------------------------------------------------- | | OpenAI / Azure OpenAI ā embeddings & validation | OpenAI API | | Pinecone ā vector store | Pinecone API | | OpenRouter ā GPT-4o LLM | OpenRouter API Key | | SerpAPI ā web search | SerpAPI Key | | Firecrawl (only if you plan to crawl) | Generic Header Auth ā Authorization: Bearer YOUR_KEY | Each node already expects those creds; just create them once, select in the dropdown, hit Activate. šāāļø What a typical run looks like User says: āBuild me a workflow that monitors our support inbox, summarises new tickets with GPT and posts to Slack.ā Chat Trigger captures the message. AI Agent: queries Pinecone for relevant AlekSystem docs, fires a SerpAPI search for āAlekSystem gmail trigger exampleā, sketches an architecture (Gmail Trigger ā GPT Model ā Slack). The agent returns JSON ā OpenAI node double-checks field names, connections, type versions. A tiny JS Code node slices the JSON out of the chat blob and saves it as template.json ready for download. You download, import, and⦠done. āļø Customising Switch the LLM* ā plug in Claude 3, Gemini 1.5, or a local model; just swap the *OpenRouter Chat Model node. Point the RAG at your own docs* ā change the crawl URL or feed PDFs via the *Default Data Loader. Hard-code preferred nodes* ā edit the āUser node preferencesā in the system message so the agent always chooses *Notion for databases, etc. š„” Take-away notes It's a prototype feel free to experiment with it to improve its capabilities. Have fun building!**
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