A prompt template that takes a topic and outline and calls an LLM API is genuinely one of the simplest builds here, the same shape as this register's Jasper and Copy.ai cases.
Build it
Effort: an eveningRunning cost: $0/mo to start
Why CanICodeThis says Build it
A form for topic, keywords, and tone that calls an LLM API and returns a draft is a bounded, well-documented integration
An editable text area for revising the generated draft is standard UI work
Saving drafts to a personal library is ordinary CRUD
The parts that'll cause problems
Consistent brand voice across many generations takes real prompt-engineering iteration to get reliable
SEO-optimization features (keyword density suggestions, readability scoring) are real, separate additions
Fact-checking generated claims is a genuine responsibility LLM output doesn't handle on its own
How I'd build this
frontend
Next.js
database
Supabase
hosting
Vercel
MVP scope
A form for topic, keywords, and tone
One LLM API call generating a draft
An editable text area, saved to a personal library
Postpone to v2
SEO scoring and keyword suggestions
Brand-voice consistency tuning
Team review workflow before publishing
What it actually costs to build
AI agent — with a subscription (Claude Pro/Max, Cursor, etc.)
$0 marginal
AI agent — pay-per-use API, no subscription
$16–$27 one-time
Hosting, once it's running
$0/mo (free tier)
Domain name, if you want your own
~$12/yr
Existing tools solving a similar problem typically run $49–$49/mo — see how they compare below.
The build prompt
Build me an AI blog post writer — a prompt template layer, not a proprietary model:
1. A form for topic, target keywords, and tone.
2. One LLM API call sending those inputs as a structured prompt, returning a draft.
3. An editable text area showing the draft, saved to a personal library on submit.
That's a real, complete drafting tool. Out of scope: SEO scoring and keyword suggestions, a genuinely separate feature needing real keyword-research data, not just the LLM's own judgment, and a team review workflow before publishing, which adds real multi-user, multi-role scope beyond a single writer's drafts.