AI systems, grounded in your data.

Kingdom Kode builds private AI for growing businesses: retrieval over your own documents, LLM features inside your product, and agents that work your tools. Built on Anthropic Claude, with evaluations and guardrails before launch — and your data stays yours.

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Scoped in a 1–2 week blueprint · Built on Claude · A human approves what matters

Assistant · your documentsSample

What’s our refund window on annual plans?

policies/refunds.mdcontracts/annual-terms.pdf

Annual plans refund within 30 days of renewal,
then prorated. Source: annual-terms.pdf §4.

Grounded in 2 sourcesGuardrails onHuman review for refunds

The short answer

What is an AI system, and what does Kingdom Kode build?

An AI system is software where a large language model does a defined job — answering from your documents, drafting, classifying or acting in your tools — wrapped in retrieval over your own data, guardrails, evaluations and a human who approves the moments that matter. Kingdom Kode scopes the smallest system that moves revenue first, builds it on Anthropic Claude inside your stack, then operates and expands it.

Best for: Knowledge assistants, LLM product features, AI-powered internal tools
Model: Built on Anthropic Claude, wired into your stack
Your data: Private retrieval (RAG) — your data stays yours
Safety: Evals and guardrails before launch; human approvals
Start: Free Revenue Code Diagnostic, then a 1–2 week blueprint
Investment: Fixed quote after the blueprint, or a systems retainer from $8K/mo
Studio: Kingdom Kode · Phoenix, Arizona

/ 01 · Why teams call us

Before

Talented people answering the same questions, digging through documents and copying data by hand.

After

Answers and drafts grounded in your own sources, with a person approving the moments that matter.

today

Talented people answering the same questions, digging through documents and copying data by hand.

before

Private retrieval (RAG)LLM features in your productAgents in your toolsEvals & guardrailsSmallest system first.

handoff

A system you can trust and measure.

01 A working AI system in your stack
02 Evaluation set and guardrail rules
03 Retrieval and prompt documentation
04 Monitoring and a tuning plan

What you receive

01Why teams call us02What we build03What you receive

/ 02 · What we build

From one assistant over your documents to AI-native products.

Private retrieval (RAG)

Assistants that answer from your documents, policies and data — with sources shown.

LLM features in your product

Search, summaries, drafting and classification shipped inside the software you already run.

Agents in your tools

Agents that read, decide and act across your CRM, inbox and calendar. See workflow automation.

Evals & guardrails

A test set of real questions and rules on what the system may say or do, run before every release.

Human-in-the-loop

Approvals on the decisions that carry risk or revenue, with every action logged.

AI-native products

Full products with AI at the core, from roadmap to production — including the Zero-to-Hero founder track.

/ 03 · What you receive

A system you can trust and measure.

Not a prompt in a doc — a running system with the tests and controls to keep it honest.

Anthropic ClaudeVercel AI SDKNext.jsTypeScriptPostgresSupabase

A working AI system in your stack
Evaluation set and guardrail rules
Retrieval and prompt documentation
Monitoring and a tuning plan

/ 04 · How we get there

We prove value on your real calls and data before anything grows.

/ 01 · DiagnoseFree
The Revenue Code Diagnostic shows where AI pays off fastest — before you spend a dollar.
/ 02 · Scope1–2 wks
The smallest system that moves revenue: what it automates, what stays human, and exactly what it plugs into.
/ 03 · BuildSprints
Design and engineering under one roof. You see it working on your real data, not in a slide deck.
/ 04 · OperateOngoing
We monitor, tune and improve the system as your volume and use cases grow.

/ 05 · In production

Our own AI, running every day

The Kingdom Kode AI Receptionist answers real calls on Claude and Telnyx voice.

The same team, patterns and guardrails we use for client AI systems. Call an industry demo line and hear it work.

See the AI Receptionist Call a live demo line

/ 06 · Investment

Start free. Then a fixed quote.

The diagnostic costs nothing. The blueprint scopes the first system and fixes its price; the fee is credited toward the build.

AI system build

Scope, retrieval, evals, guardrails, integration and launch.

Fixedquote after blueprint

Start with a blueprint

Systems retainer

Workflow and AI systems, monitoring and roadmap.

$8K/mo, from

Talk about a retainer

/ 07 · Questions

AI systems, answered.

What is RAG, in plain terms?

Retrieval-augmented generation: before the model answers, the system looks up the relevant passages in your own documents and answers from them, with the sources shown.

Which AI models do you use?

We build on Anthropic Claude, wired into your stack. If a job needs a different model, we say so in the blueprint.

How do you stop the AI from making things up?

Answers come from retrieved sources, guardrails limit what it may say or do, and an evaluation set of real questions runs before every release.

Does our data stay private?

Your data stays in your own systems and is retrieved only when a question needs it. We review each provider’s data terms with you during the blueprint.

Where does AI pay off fastest?

Usually in repetitive, high-volume work: answering calls and questions, intake and follow-up. The free diagnostic shows where it fits your business.

Can AI work inside the tools we already use?

Yes. We connect to your CRM, inbox, calendar and databases through their APIs, so the AI works where your team already does.

Start with the free diagnosticStart a project