# Why AI projects fail

Source: https://getstartedwithai.net/articles/why-ai-projects-fail
Site: Get Started With AI
Tagline: Build AI automations that actually run your business.
Audience: solo professionals, freelancers, consultants and AI implementers in training
Contact: hello@getstartedwithai.co.uk

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# Why AI projects fail

Most AI projects do not fail because the model is weak. They fail because nobody wrote down the work, tested the output or owned the workflow.

## The work was never captured

Teams describe the desired outcome but not the inputs, edge cases, handoffs and review rules that make the work real.

## The first version was too large

A useful AI workflow should start with one repeated task and one measurable output.

## Nobody kept it running

Deployment is not the end. Add a check, an owner and a weekly review before calling the build finished.

## Build your first AI system live with Richard

A 60-minute live build with Richard Batt. Bring one repeatable task. Leave with a mapped automation, success metrics and a deploy plan you can test the next morning. Free seat, no upsell.

### Live build session

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## Questions people ask before they start

### Do I need to code?

No. Most builds run on ChatGPT, Claude, Zapier, Make, Notion or Canva. Code tools are only used when they are the fastest route to a working outcome.

### How much time does each build take?

Most starter builds ship in 30 to 90 minutes. Each one states the outcome, the time to ship, the tool cost and the running system you should have when you finish.

### Is this for beginners or consultants?

Both. The site is calibrated for solo professionals who want the working system for themselves first, then repackage the same build as paid client work.

### Where should I start?

Start with the free Starter Kit, then ship the first ChatGPT project and the first Zapier flow. That gives you one assistant and one live automation by the end of the week.