Why keep your business files portable?
YAIBOS keeps company knowledge and procedures in files you control. This makes it easier to change AI tools without rebuilding your business context.
Models, context, skills, and tools
A capable model needs company context, reusable skills, and tools to get useful work done. I think of those factors as a multiplication:
Utility = Model intelligence × Context quality × Skills × Action tools
The reasoning ability of the model, such as Claude, GPT, DeepSeek, or a local open-weights model.
Static context (AI entry point and operating rules in AGENTS.md, projects, roles, and company knowledge in Markdown) and dynamic context (emails, customer records). Automatic updates, stale-note alerts, and contradiction audits help keep it current.
Agent skills package reusable instructions, scripts and resources. Business skills can implement standard operating procedures (SOPs), with clear inputs, approval rules and reviewable outputs.
Model Context Protocol (MCP) servers, local file system read/write, terminal scripts, CRM endpoints, and public registry or billing APIs.
Multiplication makes the dependency easy to see: if a factor is zero, the product is zero.
- A model with no company context may invent details about your business.
- With context but no shared skills, team members have to write their own prompts for each task.
- With context and skills but no tools, the agent can give advice in chat. It cannot write files or update systems.
YAIBOS connects these four parts in a system you control.
The cost of depending on one vendor
OpenAI, Anthropic, and Google bundle memory, agent tools, execution environments, and interfaces in their platforms.
Before putting your business processes in one platform, consider what it would take to leave:
Your lead qualification criteria, pricing formulas, client history, and internal procedures shape how your business works. Keeping them inside an opaque cloud interface makes you depend on that vendor to access and use them.
Providers keep training new models. If a platform uses your operational data and solutions for training, those contributions may benefit models your competitors also use.
An outage or a change in terms can interrupt your work. A provider could also raise prices, say by 500%, or restrict access because of international regulations. If your company depends entirely on its harness, you may have no way to keep those operations running.
Changing models and harnesses
The model does the reasoning. The harness gives it instructions, tools, and an interface. Keeping your data separate lets you change either one.
Models and tools change quickly. Your setup should let you choose what fits the work:
A provider that suits you today may be overtaken by another. A setup tied to one vendor makes switching harder.
Complex code refactoring calls for tools such as Claude Code or Antigravity. Batch extraction can run faster and 10x cheaper on DeepSeek. Highly sensitive medical or financial data requires a local offline model (Ollama / vLLM) or an LLM provider with strong privacy guarantees, such as Zero Data Retention (ZDR) or private enterprise endpoints.
Your second brain, skill sources, and tool descriptions live in files you control. The chosen model and connectors determine what data leaves your machine during execution.
To change harness, keep the same source files and run synchronization for a supported destination. Native skill packaging, tool connections, authentication and permissions need verification. Cockpit features may require a different integration.
Schedule intent stays in your second brain. Moving a schedule requires authorization, stopping the previous task and verifying the replacement. Installing skills in another harness does not automatically activate a second schedule.
What you keep control of
Following Steph Ango’s “File over app” principle, YAIBOS keeps business context and procedures in plain Markdown files readable with any text editor.
Team members use their own AI plan through the official app or harness (Claude Code with a Claude plan, Codex with a ChatGPT plan). The founder does not get surprise metered API bills.
Base runs business skills through an existing harness. The Cockpit adds a visual dashboard, 1-click handoff, and activity review over those same files.
Set up YAIBOS for your business
Build your second brain, AI agents, Cockpit, and first SOPs live in the AI Bootcamp.