Reporting Forge
AI first automation for Python, APIs, and Power BI
30 day AI first workflow for real business reporting

Build automated reports with almost no coding
AI writes the Python, API calls, and Power BI logic for you

This book shows you a simple, prompt driven workflow where AI handles the scripts, API calls, and report logic. You will not be hand writing Python or complex DAX. You will learn how to talk to AI so it writes and explains the code that keeps your data and reports up to date.

Get early access to the book See how the 30 day plan works

Perfect for analysts, managers, and business owners who want live, automated reporting without becoming full time developers.

AI does the heavy lifting
Use prompts to let AI write the Python, API calls, and Power BI measures. You stay at the level of outcomes, checks, and final sign off.
Includes a SkyLink Test Network sandbox for safe practice
What you will learn

A practical workflow where AI does the heavy lifting

This is not a traditional "learn Python from scratch" book. It is a field guide for letting AI do the hard work while you stay in control of the outcome.

Across 30 days you will learn how to:

  • Describe your data and goals in clear, effective prompts
  • Ask AI to generate and fix Python code that cleans and reshapes your data
  • Connect to common business tools via their APIs, with AI writing the requests for you
  • Use the fictional SkyLink Test Network and its sandbox API as a safe practice ground
  • Save and rerun AI generated scripts so your reports update in a few clicks
  • Use AI inside Power BI to build measures, visuals, and narrative summaries
  • Chain everything together so your reporting runs with minimal manual effort

You will spend your time thinking about what you want, not fighting with syntax.

Who this is for

You do not need to be a programmer

This book is designed for people who:

  • Work with spreadsheets, exports, or basic databases
  • Are tired of copy paste reporting every week or month
  • Want to use Python, APIs, and Power BI, but do not want to become software engineers
  • Are comfortable learning by doing, as long as the steps are clear

If you can:

  • Open a file
  • Copy and paste text
  • Follow a checklist

then you have enough technical skill for this book. The only extra requirement is a bit of patience while you learn how to guide AI.

No prior Python or Power BI experience required
Designed for analysts and business owners
Live data

Bring in live data from the tools you already use

Most business tools now have APIs - CRMs, accounting platforms, marketing systems, help desks, and more. The problem is that their documentation is written for engineers.

In this book you will:

  • Learn a simple way to find the API documentation for tools you already use
  • See how to feed that documentation into AI so it generates working example calls
  • Use the SkyLink Test Network sandbox as a safe data source while you practice
  • Turn those examples into a repeatable data pipeline for your own reports

We stay at the level of "where to look, what to copy, what to paste into AI, and how to check that it worked". You do not need to know HTTP, JSON, or authentication flows in detail before you start. The book keeps you above the waterline while AI handles the low level pieces.

The 30 day journey

In 30 days you will go from manual reporting to AI assisted automation

Week 1 - Set up and your first AI generated script

- Install the basic tools with step by step instructions

- Learn how to describe your data and ask AI for a working Python script

- Run your first AI generated script to clean and reshape a real data file

Week 2 - Automate a repeatable data pipeline

- Use prompts to improve and harden your AI generated script

- Add simple checks so you can trust the output

- Point the script at the SkyLink Test Network sandbox so you can practice on live style data without risk

Week 3 - Connect to real APIs and build a Power BI report

- Learn where to find API endpoints and keys in a few common platforms

- Ask AI to build and explain the API calls you need for your own tools

- Connect your cleaned, API driven data to Power BI

- Use AI to help write measures, choose visuals, and build the layout

Week 4 - Put it together and push further

- Link the Python script, API calls, and Power BI report into a simple workflow

- Add small refinements based on feedback

- Capture a library of prompts you can reuse for future projects

At every step, prompts are written or scaffolded for you. Your job is to adapt them to your data, tools, and goals.
End result

A working automation, fed by APIs, not just theory

By the end of the book you will have:

  • A working Python script that AI wrote with you
  • At least one API connection pulling data from a tool you actually use
  • Access to the SkyLink Test Network sandbox you can keep using to experiment safely
  • A Power BI report that is fed by those scripts and APIs
  • A repeatable routine for updating your data and refreshing the report
  • A set of prompt templates you can reuse for new datasets and business problems

You will also have a new mental model: whenever a repetitive data task appears, you will know how to turn it into an AI assisted script plus report instead of yet another manual spreadsheet.

Approach

Stop learning syntax first, start learning how to ask

Traditional programming books teach you a language, then ask you to build something. This book flips that sequence.

We start with the outcome you care about:

  • "I want a monthly margin report from this exported CSV."
  • "I want to see sales by product, region, and channel with filters."
  • "I want to pull data from this tool via its API and track a KPI over time."

Then we show you how to ask AI:

  • to design the data cleaning and API steps
  • to write the Python and Power BI logic
  • to explain the code in plain language so you understand what is happening

You still stay in charge. You decide what is acceptable, what needs to change, and what ready looks like. AI is the power tool, not the boss.

Optional extras Book first, bundled helpers when you need them

The core book is designed to stand on its own. If you want to go further, there are optional bundled resources you can add when the time is right:

  • A prompt library you can plug straight into your AI tool of choice
  • Ready made example projects that mirror common business reporting problems
  • Extended access to sandbox style datasets so you can practice new ideas safely
  • Extra templates and checklists for turning one off experiments into stable workflows

The website gives you the overview. The details live in the book and the bundled offerings, where there is room to walk through each step properly.