Under the Hood

How Kai & Co Actually Works

The same technology powering AI coding assistants, reimagined for business operations. Here's how AI agents go from answering questions to taking action.

The Evolution of AI Agents

From chatbots to autonomous teammates

Chatbots

Answer questions, provide information. You ask, they respond.

Coding Assistants

Write code, run tests, deploy software. They don't just suggest - they execute.

Kai & Co

The same architecture, now for business. Send emails, manage calendars, track finances.

The Three-Layer Architecture

Every Kai & Co agent runs on DOE: Directives, Orchestration, and Execution

1

The Playbook

Directives

Human-readable instructions that define what agents can do. Like an employee handbook for AI - written in plain language, not code.

"When a client emails about pricing, respond with our rate card and offer a discovery call"
2

The Brain

Orchestration

The AI's intelligence layer. Powered by frontier LLMs, it understands context, interprets requests, and routes to the right action.

"Is this a pricing question or a complaint? Which playbook applies here?"
3

The Hands

Execution

Deterministic, reliable actions. Connect to real tools: email, calendar, invoicing. No hallucination - it either works or it doesn't.

"Send this exact email, create this calendar event, generate this invoice"

Addressing Your Concerns

We know you have questions. Here are honest answers.

"Why not just use ChatGPT?"
Three reasons. First, Kai & Co supports any LLM - use Claude, GPT-4, or any model that can code. Second, your agents work together as a team, sharing context and coordinating tasks. Third, Kai & Co agents don't just answer questions - they takes action.
"How do I know it won't make mistakes?"
Like any employee, Kai & Co agents can and will make mistakes as they learn your business. The key difference: your agents learn from their mistakes and correct their behaviour, improving until they get it right every time.
"Is this really autonomous?"
Progressive autonomy. Your agents start supervised and earn trust over time. You define the boundaries - what they can do without asking. Think of it like onboarding a new employee.
"Is this vaporware?"
No. This is the same architecture powering tools like Claude Code and Cursor that thousands of developers use daily to ship real software. We've adapted it for business operations.

A Day in the Life

See how the three layers work together on a real request

Email arrives: "Can we reschedule tomorrow's call to 3pm?"
Brain Recognizes scheduling request, checks calendar availability, routes to scheduling playbook
Playbook "For scheduling changes from known clients, check availability and confirm"
Hands Checks Google Calendar API, finds you're free, sends confirmation, updates event
New invoice needed for completed project
Brain Identifies invoicing need, pulls project details from context, routes to finance playbook
Playbook "For completed projects, generate invoice with standard terms, await approval before sending"
Hands Generates invoice in Stripe/QuickBooks, queues for your approval, sends when confirmed
Weekly client follow-up reminder
Brain Reviews client status, recent interactions, identifies who needs attention
Playbook "For clients with no contact in 7+ days, send personalized check-in based on last conversation"
Hands Drafts personalized emails referencing past context, sends via your email

Your AI Team

Specialists who work together

Kai Principal
Mia Marketing & Growth
Finn Finance
Sam Operations
Luna Client Relations

Kai is your principal AI and the one you'll talk to most. But every agent can coordinate directly with every other agent, sharing context and delegating tasks. Like a real team, they collaborate as peers.

Always ready to chat. Your agents aren't hardcoded workflows designed for a single task, or APIs waiting to be called. They're teammates ready for a conversation at any time - with you or with each other - and they can learn new skills and get better at them as they go.

Your Data, Your Control

Trust through transparency

Your Infrastructure

All data stays on systems you control. No training on your data, no sharing with third parties.

Exportable Agents

Your agents can be exported and moved. No vendor lock-in, ever.

Full Transparency

See exactly what your agents can access. Every action logged, every decision auditable.

Approval Workflows

You decide what needs sign-off. Critical actions wait for your OK before executing.

Bring Your Own LLM

Use Claude, GPT-4, or any model you prefer. We can also host open source LLMs for you.

Bring Your Own Apps

Your agents already know how to use your apps. Just approve access and they're ready to work.

Ready to See It in Action?

Join the waitlist and be among the first to get your own AI team.