The blank prompt
You open the agent with an idea and no plan. You type a vague paragraph, and it confidently scaffolds the wrong thing — plausible structure, invented requirements, a product you never actually decided to build.
You've seen AI sludge. You've probably merged some.
If you build with AI tools, at least one of these will feel familiar:
The loop that eats your evening
Generate, review, correct, regenerate. The agent keeps making calls that were yours to make — scope, data shape, edge cases — and you spend the session steering instead of shipping.
Demo-ware that can't ship
Three features in, there are no acceptance criteria and the data model was decided by autocomplete. It demos beautifully. Making it production-ready now costs more than a spec would have.
Vague in, sludge out — and it compounds.
Every decision you don't make before generating gets made for you — silently, mid-generation, by a model optimising for plausible. An unspecified requirement doesn't disappear; it gets decided by autocomplete, and you inherit the consequences at review time.
The builders shipping real software with AI aren't better prompters. They walk in with the decisions already made — what it's for, who it serves, what done means — and use the model for what it's actually good at: executing against a clear plan.
And it compounds. Each new feature generated against yesterday's guesses adds another layer nobody decided. Six weeks in you have a codebase with no author — and rewriting it costs more than an afternoon of thinking ever would.
The fix isn't a better model. It's arriving with a spec — using AI as leverage, not autopilot.
A starter spec, not another AI course
The AI Build Spec Starter Template
Free PDF · First working spec in about 30 minutes.
A free Speckits starter template that walks a rough product idea into an implementation-ready spec — problem, users, acceptance criteria, constraints, and a task breakdown — before you hand anything to an agent.
What's inside
- A structured spec scaffold: problem framing, users, user stories, acceptance criteria, and constraints — the sections that force real decisions.
- Pressure-test prompts for your idea — the questions that expose gaps before the AI papers over them with plausible code.
- A task-breakdown structure agents can work through step by step, instead of freestyling the architecture.
- Tool-agnostic by design — use it with Claude Code, Cursor, or whatever you build with.
Decide before you generate
The template surfaces the calls the model would otherwise make for you — scope, data, edge cases, what “done” means — while they're still cheap to make.
Prompt from a spec, not a vibe
Give your agent something it can actually execute against. Clear context in means fewer correction loops, less babysitting, and code that matches intent.
Keep your judgment in the loop
The model writes the code; the spec decides what gets written. That's the difference between leverage and autopilot.
Reuse it on every build
It's a template, not a one-off worksheet. Copy it for the next feature, the next product, the next client project.
How it works
Enter your email
That's the whole form. No name, no survey, no card.
Confirm your email
Click the confirmation link we send you; the template link (and a free premium-template code) follows within a minute.
Spec one real idea
Fill the sections in with something you actually want to build. About 30 minutes of decisions.
Hand it to your agent
Start generation from the spec — and ship something you decided, not something the model guessed.
Taylor builds and teaches in public
This isn't advice from someone who doesn't ship. The engineering is public — and so are the numbers.
145,000+
total views across Taylor's engineering videos on YouTube
4,500+
subscribers on YouTube — @taylorlindoresreeves
4,100+
followers on X — @codertlr
What viewers say
“Occasionally you come across finding gold in youtube. This is one such video.”
“The best I've seen on YouTube.”
“I have been trying to improve my coding style since 3 years following many content creators but you outranked them.”
Comments quoted verbatim from public YouTube comments on Taylor's course video.
Fair questions, straight answers
Is it really free?
Yes — completely. No trial, no upsell page, no card details. You give an email address, confirm it with one click, and the welcome email links you straight to the template. That's the whole exchange.
Are you going to spam me?
No. You get the template link immediately, then occasional practical notes and new videos or templates — when there's something worth your time, not on a drip schedule. Every email has a one-click unsubscribe, and it works.
Who is this for?
Technical founders, developers, and product-minded builders who use AI tools to ship real software — and want the output to reflect their judgment, not the model's guesses.
Who is it NOT for?
Prompt-hack collectors and anyone hoping the model will make the product decisions for them. The template makes you decide. If that sounds like friction rather than relief, skip it.
Doesn't writing a spec slow me down?
It's about 30 minutes of decisions against days of correction loops and rework. When a machine writes the code, the spec is the fast path — generation is cheap, drift is expensive.
I already use Claude Code / Cursor. Do I need this?
It's not a replacement for your tools — it's what you feed them. The template is the context layer that makes an agent session start from your plan instead of a blank prompt.
What exactly do I get when I sign up?
After a one-click email confirmation: your link to The AI Build Spec Starter Template on Speckits — a fill-in spec scaffold you can reuse on every build — plus a single-use code that makes one paid Speckits template free.
Your next build deserves a spec. Start before you prompt.
Enter your email and the template link lands in your inbox within a minute. Spec one real idea tonight — then let the AI build what you actually decided.
Free. No spam. Unsubscribe anytime.