Setup guides

Build a local AI agent stack one clean step at a time.

Career roadmaps for AI and data engineering, plus the setup tutorials users ask for first: Ollama, OpenAI API keys, local GGUF models, MCP tools, and desktop automation in MultiAgentOS.

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Product demo

See the full desktop AI workspace.

Full-frame MultiAgentOS screenshots from the current app: a built-in browser the agent drives, the Bridge chat panel, model routing, and structured results together.

1 Ask
2 Route model
3 Run tools
4 Review action

Full-frame MultiAgentOS workspace showing the navigator, the browser workspace in the centre, and the Copilot Agent Inspector with Chat, Plan, Activity, Artifacts, and Context. — Full-frame screenshot from the current MultiAgentOS app.

Browser workspace screenshot in MultiAgentOS. — **Browser workspace** Drive a built-in browser from the chat panel and watch every step in one window.

Visible tool runs screenshot in MultiAgentOS. — **Visible tool runs** Every tool call is shown with its arguments and result, so nothing happens behind your back.

Live research screenshot in MultiAgentOS. — **Live research** Read and act on real pages while the Bridge chat panel stays docked below.

How to turn a recorded lecture into illustrated study notes

A step-by-step guide to converting a recorded lecture into illustrated, source-cited study notes on a Mac, fully on-device, then exporting to PDF or Anki for revision.

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How to transcribe a meeting on your Mac, fully offline

A step-by-step guide to recording and transcribing a meeting on a Mac fully offline, keeping the audio private, and building a searchable archive with action items.

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How to build a clean fine-tuning dataset from your own documents

A step-by-step guide to turning messy documents into a training-grade dataset on a Mac: dedupe, PII scrubbing, chunking, tokenization and export schemas for fine-tuning and RAG.

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The AI engineer roadmap for 2026

Ten stages from zero Python to production RAG, agents, and evaluation, each with a concrete practice target.

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The data engineer roadmap for 2026

Ten stages from first SQL to Airflow, dbt, Spark, Kafka, lakehouses, and platform design, with practice targets.

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The software engineer roadmap for 2026

Ten stages from first program to APIs, testing, CI/CD, distributed systems, and system design, with practice targets.

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The 90-day learn-to-code plan

Three 30-day phases with daily structure, weekly checkpoints, and honest tests, from zero to your first finished projects.

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The ML engineer roadmap for 2026

Ten stages from first Python through classic ML and PyTorch to pipelines, serving, and MLOps, with practice targets.

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Set up Ollama for local AI agents

Install Ollama, pull a model, confirm the local server, and connect it to MultiAgentOS.

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Add an OpenAI API key safely

Create a project key, store it securely, and route selected workflows to OpenAI models.

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Choose local GGUF models

Understand quantization, memory, context, and test prompts before trusting a model in an agent.

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Connect MCP tools

Use MCP servers to expose controlled tools to your desktop AI agent.

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Desktop automation setup

Prepare permissions, visible status, stop controls, and scoped actions for safe desktop operations.

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Long-form Ollama walkthrough

Read the deeper blog version of a local agent setup with Ollama.

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