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AI Software Delivery Platform

Production software,
in plain English.

AI Delivery Pod builds your website, app, or API Services from a plain-language description, no coding required. As simple as today’s AI app builders, with the engineering rigour of a real product team behind it.

Enterprise-grade Human-in-the-loop Architecture-first

Build software, just by describing it.

AI Delivery Pod is a platform for building production websites, apps, and API Services from plain language. You don't need to know how to code. It's as easy to use as a typical AI app builder, but under the hood it works like a disciplined engineering team rather than a one-click site generator. The AI tools that offer that kind of rigour are usually built for developers. AI Delivery Pod is built for everyone.

Not another vibe-coding tool.

Most AI app builders make it easy to start, but hard to trust in production. AI Delivery Pod gives you the same simplicity with the safeguards real software needs.

Typical AI app builders

Easy to start, hard to trust

  • Hosting and source code sit in a black box. Security, scalability, and how your data is protected are unknown.
  • Every change is pushed straight to production, so bugs slip in with no proper testing environment.
  • Publishing has overwritten live databases, with no easy way back.
  • No source control, so unintended changes can't be reverted.
AI Delivery Pod

Just as simple, built to ship safely

  • Runs on your own GitHub repo and your AWS account, with full visibility and control.
  • Changes land on a feature branch, then flow through Dev, UAT, and Prod on your sign-off.
  • Guardrails prevent destructive changes, so a database is never accidentally dropped.
  • Everything lives in Git, so you have full history and can revert anything, anytime.

From idea to production, safely.

Describe what you want, and your AI product team designs, builds, tests, and ships it, with you in control at every gate.

01

Describe it

Tell the Pod what you want to build in plain language. No tickets, no specs, no code. If your brief is unclear or ambiguous, the Pod asks the right questions to fill in the gaps.

02

Agents design & build

Architect, Developer, and Reviewer agents design the architecture first, then build to your standards, committing to a feature branch in your GitHub.

03

Your cloud, your environments

The CI/CD agent provisions Dev, UAT, and Prod in your own AWS account, and updates them as new services are needed.

04

Test in UAT

Promote changes to UAT from the Pod for user acceptance testing. QA agents verify against the test cases generated from your requirements.

05

Publish to production

When UAT passes, publish to production from the Pod. Guardrails make sure nothing destructive ever ships.

A full engineering team, in agents.

Every Pod runs a team of specialised agents that work to your coding standards, guardrails, and policies, with you at the controls.

AI Agent

Product Manager Agent

Gathers your requirements and turns them into the detailed functional specs the rest of the team builds from.

AI Agent

Architect Agent

Designs the architecture first and keeps the design document in sync with every change you make.

AI Agent

Developer Agent

Builds your features to your standards and writes a unit test for every function it creates.

AI Agent

Reviewer Agent

Reviews every change against your coding standards, guardrails, and policies before it moves on.

AI Agent

QA Agent

Turns your requirements into test cases and runs QA against them on every release.

AI Agent

QA Automation Agent

Builds self-healing tests, regression automation, and security checks at scale.

AI Agent

CI/CD Agent

Provisions and updates your Dev, UAT, and Prod environments and runs the delivery pipeline.

Engineering rigour, built in.

Everything a serious software team does, handled for you, automatically.

Architecture-first design

Every project starts with an architecture design, and it's kept up to date automatically whenever anything changes, not just the code.

Your standards & guardrails

Set organisation-wide coding standards, guardrails, and policies. The Architect, Developer, and Reviewer agents follow them by design.

Requirements to test cases

Capture user requirements in the Pod, auto-generate test cases, and let the QA agent verify against them.

A unit test for every function

Every function the AI writes ships with a unit test, so coverage is built in from the start, no manual test-writing required.

QA automation at scale

Self-healing test suites, regression automation, and security checks that run continuously as your product grows.

Your repo, your cloud

Connect your own GitHub and AWS, or let the Pod set them up for you. Either way, 100% of the IP is yours.

Manage your roadmap

Plan your product roadmap inside the Pod and let your AI-powered product team handle delivery.

No lock-in

Everything lives in your repo and your cloud, so you can hand the project to your own team whenever you want.

Your software. Your control.

Whether or not you have a tech team, AI Delivery Pod fits the way you work, and the IP is always yours.

With an engineering team

Plug into how you already work

Connect your own GitHub and AWS, define your environments, and set human review gates before anything is promoted. Your engineers stay in the loop with full source control.

Without a tech team

We set it all up for you

No engineers? AI Delivery Pod automatically provisions your GitHub and AWS environments, so you can go from idea to production without hiring a developer. And if you ever want to take over, every line of code and all IP belongs to you. No lock-in, ever.

Common Questions

No. You describe what you want in plain language and the agents handle the architecture, code, testing, and deployment. AI Delivery Pod is built for non-developers, while still giving technical teams full control if they want it.
Yours. You can connect your own GitHub repo and AWS account, or let the Pod set them up in accounts you own. Either way you have full visibility into your code, infrastructure, and data.
Those tools publish straight to a black box you don't control. AI Delivery Pod uses your own repo and cloud, proper Dev, UAT, and Prod environments, full source control, and guardrails, so changes are tested and approved before anything reaches production.
Yes. Every change is committed to Git on a feature branch, so you have a full history and can revert anything, intended or not, at any time.
Guardrails block destructive operations like dropping a database, and changes flow through UAT for acceptance testing before they can be promoted to production.
You do, 100%. Everything lives in your repo and your cloud, so you can hand the project to your own engineering team whenever you like. No lock-in.

Ready to build, the right way?

Describe your first project and watch your AI product team take it from idea to production, on your repo, your cloud, your terms.

Tell us about your project

We'll match you with the right Tech Lead and put together a pod proposal within 48 hours.

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No need for a full spec; a clear summary is enough to get started.

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Let's talk about your needs

A free 30-minute call with one of our senior technical team members. No sales pitch, just honest advice.

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Become a Tech Lead

We're looking for senior engineers who want to lead AI-powered delivery pods. Own the technical direction. Work with the best tools. Deliver real outcomes for ambitious companies.

🎯

Own the Architecture

You make the calls. Lead every technical decision from discovery to delivery, without layers of bureaucracy.

🤖

Work with AI Natively

AI agents are configured to your specifications. Spend your time on the high-value work humans do best.

🌍

Flexible & Remote

Lead engagements remotely or on-site. We work with senior engineers globally.

💰

Competitive Rates

Tech Leads are compensated at senior consulting rates. Ongoing work for high-performers.

Apply to Join

Tell us about your experience and what kind of work you're looking for.

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