Build-in-Public Case Study

Building an AI business — the honest, unfiltered version.

This isn't a blog. It's the live case study of building TAIGL — every decision, bug, pivot, product launch, and lesson, documented as it happens. No hype. No vanity metrics. Just what actually happened.

What this journal is

Real progress

What actually happened — including the failed assumptions and the fixes. Not a highlight reel.

Practical lessons

Each entry explains what changed, why it mattered, and what you can learn from it.

Public proof

These entries become the evidence behind the products, consulting, and everything else we sell.

All entries · newest first
Branding · 2026-06-20

Why We Gave Our AI Agents Names, Roles, and a Governance Structure

We didn't set out to build a character universe. We set out to solve a coordination problem — and discovered that naming your agents is the fastest way to make AI governance real, memorable, and sellable.

· Characters should emerge from operational gaps, not imagination sessions. Architecture drives the lore.
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brandinggovernanceAI workforce
Project Timeline · 2026-06-18

The Full Milestone Log

The complete chronological record of every major milestone, pivot, and decision since day one.

· Building in public means keeping an honest record.
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milestonestimelinechangelog
Practical Guides · 2026-06-15

AI Productivity for Founders: The 30-Minute Weekly Review

How a structured 30-minute weekly review replaced hours of unfocused daily firefighting.

· Productivity is choosing the right task, not doing more tasks.
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productivityfoundersweekly review
Practical Guides · 2026-06-12

AI Email Marketing Without Sounding Like a Robot

How to use AI for email marketing without every message reading like it was generated by a machine.

· The best AI emails are the ones where the reader can't tell AI was involved.
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emailmarketingcopywriting
Build Notes · 2026-06-10

Building a Content System That Actually Gets Used

Why a basic repeatable system beats random AI-generated posts every time.

· A basic content calendar you actually use beats a perfect one that sits empty.
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contentsystemsworkflow
Practical Guides · 2026-06-08

AI Automation for Small Business: What Actually Works

A no-hype look at which AI automation tasks actually save time and which ones just create more work.

· Automate drafts, not decisions. Keep human approval where risk exists.
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automationsmall businesspractical
Build Notes · 2026-06-06

Testing AI Video Generation — Honestly

The gap between 'the dashboard says it worked' and 'I'd actually post this.'

· Never let a system claim success without showing you the evidence.
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videohonestyquality
Revenue Notes · 2026-06-01

The First £19: Starting With a Small Product

Why I launched a low-ticket digital product before building the thing I actually wanted to sell.

· A small yes from a stranger is evidence. A big no is just a guess.
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revenueproductpricing
Turning Points · 2026-05-25

When Someone Scored My Project 6.8 Out of 10

What an independent review said about the project, and why the feedback that stung was the feedback I needed.

· The most dangerous feedback is the kind that only tells you what you want to hear.
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strategyfeedbackturning point
Build Notes · 2026-05-18

From Agent Showcase to Revenue Dashboard

How the dashboard evolved from an impressive agent showcase into something I actually use.

· The best dashboard is the one that helps you act, not the one that looks best in a demo.
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dashboardUXrevenue
Build Notes · 2026-05-10

Why I Fixed Security Before Anything Else

The week I stopped building features and started fixing the doors I'd left open.

· Trust is a product feature.
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securitytrustproduction
Lessons Learned · 2026-05-02

The Frozen Video Bug

A bug that taught me more about quality control than any testing framework ever could.

· A pipeline that runs without errors is not the same as one that produces good output.
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videobugsquality
Lessons Learned · 2026-04-25

The Printify Pivot: When an API Gets Blocked

What happened when direct Etsy access was blocked, and why it didn't kill the business.

· Blocked APIs should not block revenue paths.
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PrintifyEtsypivot
Build Notes · 2026-04-18

Building the First AI Agents (and Knowing When to Stop)

How the agent system was structured, and the moment I realised more agents wasn't better.

· Stop counting agents, start counting outputs.
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architectureagentsdesign
Lessons Learned · 2026-04-10

Retiring the Google Sheet

The spreadsheet prototype that proved the concept and then quietly got in the way.

· Prototypes are useful, but production workflows need one source of truth.
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workflowprototypelessons
Build Notes · 2026-04-03

Choosing the Stack: Why Simple Beats Clever

The tech decisions behind the engine, and the one principle that drove all of them.

· The best stack is the one you can ship with today.
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technologyarchitecturedecisions
Founder Notes · 2026-03-28

Why The AI Growth Lab Exists

The positioning question that shaped everything: what is this actually for?

· Useful AI needs a business workflow, not just clever prompts.
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positioningfounderworkflow
Founder Story · 2026-03-24

Day One: Why I Started Building This

The honest reason I started building TAIGL. No pitch deck. No grand vision. Just a real problem I couldn't ignore.

· AI without a workflow is just expensive entertainment.
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originfounderstory
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