Articles
Articles about Doka and AI agents
How Doka works, why a desktop agent matters, and what is happening with AI. page 6.
What Is MCP (Model Context Protocol), Explained Simply
MCP is a standard that gives an AI model access to external tools. A plain-language explanation, examples, and how to connect an MCP server to an agent.
DeepSeek Locally on Your Computer — Private and Without Limits
How to run DeepSeek on your own computer and work with it locally — no data sent to outside servers, no limits, no subscription. With access to files and the terminal through an agent.
An AI Agent for Writing Code: Coding Alongside an Agent Locally
How an AI coding agent differs from autocomplete, what the 'describe the task — the agent writes, runs, and fixes' loop looks like, which model to pick, and where the trust boundary sits. A practical breakdown using Doka.
AI for Working With Excel: Analyzing Spreadsheets Locally, No Cloud
How to use AI for working with Excel spreadsheets — merging data, finding discrepancies, computing totals, and preparing reports without uploading work files to the cloud. A look at what it can do, and an honest look at its limits.
AI in the Terminal: An Agent That Runs Commands and Fixes Errors Itself
How an AI agent works right in the terminal — runs code, builds a project, runs tests, and fixes errors itself in a loop, with confirmation for risky commands. Using the Doka desktop agent as the example.
How to Connect an MCP Server to an AI Agent: A Step-by-Step Guide
A step-by-step walkthrough of connecting an MCP server to a desktop agent — where to find a server, what to fill in, how to pass tokens, and what to do if the tools don't show up. Using Doka as the example.
Model Context Protocol Explained: How the Protocol Actually Works
A technical breakdown of Model Context Protocol (MCP) — what it's made of, how the client-server relationship works, what transports exist, and why the standard was needed in the first place.
How to Customize an AI Agent to Fit You: Projects, Skills, and Your Own Rules
How to turn a general-purpose AI agent into a personal assistant for your work — through projects with their own system prompt, Markdown skills, connecting your services, and memory of your preferences. A practical breakdown using Doka.
AI for Document Analysis: Extract, Compare, and Check — Locally
How to use AI for document analysis — extracting data, comparing versions, finding risks in contracts, and pulling together reports. A breakdown by profession, and an honest look at privacy, formats, and limits.
How to Install AI on Your Computer for Free: Options and the Simplest Path
What it actually means to install AI on a computer, how local AI differs from a browser chat, and how to set it up for free, without a subscription or the command line. A look at the options and the pitfalls.
An AI Agent on a Schedule — Morning Briefings and Routine on Autopilot
How to set up an AI agent that runs on a schedule: builds a morning briefing, tracks news, and handles routine tasks by cron — on its own, with no input from you. Using the Doka desktop agent as the example.
Custom Skills for an AI Agent — Teaching a Model to Work by Your Own Rules
How to give a model your own procedures, checklists, and answer style through Markdown skills — so you stop repeating the same instructions in every chat. Using the Doka desktop agent as the example.