Building your own agentic AI assistant
This series treats a personal AI assistant the way the rest of Factnetize treats any system: as something you build, measure, and own — one step at a time. The goal is simple. Start from the ChatGPT-level familiarity you already have, and end with a real agent that runs on your own PC, uses your tools, remembers your context, and does actual work on your behalf. No hype, no vendor lock-in, no magic — just the working stack, explained.
Who this is for
It is written for one specific reader: someone who knows ChatGPT but has never run an agent. You do not need:
- to be a developer
- a server
- a GPU
If you can paste a command into a terminal when told exactly what to do, you can follow along. Each part leaves you with a more capable assistant than the last — and teaches you the pieces underneath instead of hiding them behind a polished app.
No hype, just what works
You have probably seen the videos: someone casually reveals an agentic AI that supposedly runs their whole business, inbox, and life — flawlessly, in a weekend. What you never see is the config, the real cost, the failed runs, or whether any of it survives contact with a second person trying to reproduce it. This series is the opposite of that. Everything here is meant to be achievable, reproducible, and actually working on an ordinary PC — every step shown, every gotcha named, every price a dated snapshot you can check. If a thing only works in a demo, it does not go in.
✅ What you’ll get
- a working agent on your own PC
- every step reproducible
- real costs and trade-offs named
- the stack underneath explained, so you can change it yourself
🚫 What you won’t get
- a no-code magic button
- a “set it up in a weekend and it runs your life” promise
- a demo that falls apart the moment you try to reproduce it
Series overview
- What is an agentic assistant, and why build your own — The starting point: what actually makes an assistant “agentic”, how it differs from a plain chatbot, and why more people run their own on an ordinary Windows 11 PC instead of renting one.
- Installing your first AI agent on Windows 11: Hermes Agent step by step — Desktop installer or PowerShell one-liner, model setup via Nous Portal, your first real tool call, and two Windows traps explained before they cost you time.
More parts are in the works. This list grows as new articles are published.
What this series covers
- Agent vs chatbot — what “agentic” really means, and when it is worth it
- Installing your first agent on Windows 11 — no server, no GPU
- Giving it a brain — connecting a model provider that fits your budget
- Tools and MCP — letting the agent reach files, the web, and your apps
- Memory and skills — the loop that makes it improve over time
- Automation on a schedule — work that runs while you sleep
- Sub-agents — delegating parallel work to keep things fast
- Connecting it to your world — mail, calendar, files, and your own site
- Personality and soul files — making the assistant unmistakably yours
⚠️ Before you start
This is a hands-on build series, Windows-11-first and copy-pasteable, with no development experience assumed. Any price, model name, or version you see is a dated snapshot — the field moves fast, so always check the source for today’s reality. Everything here runs on tools you control: you own the stack, and nothing is locked to a single vendor.
New parts are added as they’re published. Bookmark this page to follow along.
Related series
- Local AI on Windows — prefer to keep everything on your own machine with no API costs? This series covers three local setups: LM Studio + AnythingLLM, Hermes via Hyper-V, and Hermes in Docker.
- WordPress + AI — once your agent is running, this series shows how to connect it to your WordPress site via MCP so it can draft posts, set SEO fields, and manage content from a chat prompt.