Book a call

FastTrack · Included on every tier

Processes, skills and instructions for AI-generated code.

FastTrack lowers the bar. Anyone who can describe a need can create working code, not just developers. The organisation builds small, targeted solutions that solve large operational problems. It is part of every Emberloom AI engagement, available from day one regardless of tier.

Methodology

Describe what you need, AI writes the code.

01

Natural-language instructions

AI writes code from plain descriptions. No programming skills required to get started.

Anyone
02

Ready-made templates

Pre-built templates for common patterns accelerate results and reduce risk.

Reusable
03

Iterative refinement

Test, correct, and improve step by step. Each iteration sharpens the output.

Continuous
04

Modular architecture

Build in modules that can be reused across projects and teams.

Compounding

Specification

The glossary and the process are the specification.

Before anyone orders code, we write down two things. The glossary defines five words: customer, order, case, product and project. Each department says what the word means to it, and the business agrees one definition. The process description covers how the work runs today (as-is), how it should run (to-be), and where intelligence goes in it.

Together they are the specification the code agent builds from. We also train the business to build its own tools from it, the way people once learned Excel.

Many projects, one map. No confidential material from other customers.

Knowledge base

Many implementations, distilled.

A curated knowledge base built from years of real e-commerce projects. It covers integrations, platform patterns, best practices, and common pitfalls.

  • Knowledge agent (Slack). A dedicated agent in your workspace. Ask about integrations, platform patterns or troubleshooting, and get answers grounded in real project experience.
  • MCP server. The same knowledge base is reachable from Claude Code and Cursor, so context arrives where you work.
  • Continuously updated. New patterns, integrations and lessons are added with every project.

Topics covered

What the base knows.

  • Platform integrations
  • PIM and product data
  • Order management
  • ERP connections
  • Payment and checkout
  • Troubleshooting patterns
  • Best practices
  • Architecture guidance

The cycle

From need to running solution.

01

Clarify the need

Define the problem, identify data sources, and describe the desired outcomes. This sets the boundaries for what the solution should do.

Scope
02

Choose the right tools

Select or create skills that solve the problem. The skill library covers common e-commerce and retail patterns.

Select
03

AI writes the code

Generate code from the brief. Templates and guardrails keep the output matched to the intent.

Build
04

GuardRails validates, SafeZone runs

Generated code passes quality and security checks, then deploys to a monitored runtime.

Ship

Skills and training

Not a toolset. A competence programme.

01

Documented methodology

Hands-on training with a structured method. Not theory, but practice with your own data and systems.

02

For the whole team

Product managers, analysts and operations staff learn to build, not only developers.

03

In-house competence

Your organisation learns to create and maintain its own solutions, reducing consultant dependency over time.

Integrated system

Three parts that work together.

Companies should be able to build exactly the applications the task needs, improving their operations every week instead of every quarter.

Development

FastTrack

The starting point for every solution, from problem definition through AI-driven building to deployment.

You are here
Validation

GuardRails

Every piece of AI-generated code passes quality checks, static analysis and sandbox testing before production.

Operations

SafeZone

Isolated, secure operations with runtime monitoring and intelligent alerts.

Ready to get started?

Thirty minutes, no commitment. We walk through FastTrack and how your team can start building with AI.