Jarvis AI Agent Workflow
A modular AI assistant workflow concept using n8n-style automation, local models and API actions.
Project Description
Jarvis AI Agent Workflow is a modular AI assistant concept designed to automate personal or business tasks using workflow orchestration. The system can combine triggers, actions, LLM reasoning, APIs, local models and user commands. n8n is relevant because it supports workflow automation and AI-agent style tool orchestration, while Ollama supports running local language models on a user machine.
Problem
Users often repeat the same tasks across emails, calendars, notes, web searches, reminders, project planning and file organisation. Doing everything manually wastes time and creates fragmented workflows.
Solution
The Jarvis workflow connects different tools into one automation layer. A user command can trigger a chain of actions such as reading data, summarising content, creating tasks, generating emails, updating spreadsheets or calling APIs.
Main Features
FeatureDescription
Command Input
User sends task/request
Agent Router
Decides what workflow to trigger
n8n Workflow
Automates actions between tools
Local AI Model
Runs private local reasoning through Ollama
API Integrations
Connects email, calendar, docs, websites
Memory Layer
Stores user preferences or project notes
Notification System
Sends final result or alert
Documentation Angle
Write this as an AI workflow automation architecture. Include agent workflow diagram, tool-calling pipeline, privacy design, local vs cloud AI comparison and example use cases.