Should I vibe code
Draft researched articles and marketing copy with source links and revision controls
Drafting with sources is a prompt chain. Verifying the sources is the part people skip.
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Their verdict, the Individual price and the build-time estimate come from their entry, MIT-licensed. Checked 2026-08-03.
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Our verdict, the regret score and everything below it. Editorial and unsponsored — nobody can pay to be moved.
The honest answer
why the verdict is what it is
Very reachable to build. Just be aware that a tool which produces confident cited text will produce confident wrong citations at some rate, and you are publishing them.
What actually breaks
not "if". the specific failures.
- Citations that resolve to real pages which do not say the thing they are cited for — the failure mode that survives every spot check
- Fabricated sources, where the URL is plausible, the publication exists, and the article never did
- Statistics with a number, a percentage and a year, none of which came from the source attached to them
- Publishing at volume, so the one wrong claim is discovered by a reader rather than by you
- Your name on the byline of an assertion you never verified
The article has eleven citations and you checked three, which felt diligent. Citation seven links to a real report from a real institute — the page loads, the branding is right, the year matches. It just does not contain the 34% figure your article attributes to it, because the model produced a number that fitted the sentence and then attached the most plausible-looking source. A reader emails the institute rather than you. The correction is easy. The email from their communications team is the part you remember.
Is that you?
the verdict is a default, not a law
- It drafts and a human verifies every factual claim against the source before publishing
- The output is internal — briefs, outlines, first drafts nobody publishes
- It writes copy that makes no factual or statistical claims at all
- Generated citations are published without someone opening every link
- It publishes automatically or at a volume no human can check
- The content makes claims about health, finance, law or safety
- The byline implies a person stands behind the facts
If you build it anyway
the checklist, then the prompt that enforces it
- Fetch every cited URL and confirm it resolves, then require a human to confirm it supports the specific claim. Link-resolves is not claim-supported, and the gap between them is where this fails.
- Extract and store the exact quoted passage the claim rests on, next to the claim. If there is no passage, there is no citation.
- Never let the model invent statistics. Numbers come from a retrieved document or the sentence gets rewritten without one.
- Cap publishing throughput to what a human can actually verify. Volume is what converts an occasional error into a reputation.
- Keep an audit trail per article: which model, which prompt, which sources, who approved it.
- Label AI-assisted content according to the norms of wherever it is published.
Before you build an AI article writer with citations, apply these and push back if I ask you to break them. 1. Tell me the central failure up front: the model will produce a real, working link to a real publication that does not contain the claim it is attached to. This survives casual checking, because the link resolves and the source looks right. 2. Never let the model produce a citation from memory. Retrieve documents first, then write only claims grounded in retrieved text. 3. For every factual claim, store the exact passage from the source that supports it, alongside the claim. If you cannot extract a supporting passage, remove the claim rather than citing loosely. 4. Fetch every cited URL at generation time and verify it returns 200 and contains the stored passage. Fail the draft if it does not. 5. Refuse to generate statistics that are not present verbatim in a retrieved source. If a sentence needs a number I do not have, rewrite the sentence. 6. Build a review step that shows each claim next to its supporting passage and requires explicit approval. Do not offer a publish-without-review path. 7. Rate limit publishing to a volume a human can verify, and tell me what that number is. 8. Record per article: model, prompt, retrieved sources, approver, timestamp. 9. Refuse to generate health, legal, financial or safety claims at all, and tell me why. 10. Add the AI-assistance disclosure appropriate to where this is published.
That one keeps you out of trouble. For the prompt that actually builds it, canivibecodeit.com has one.
their build prompt ↗Or don’t build it
the boring option, and the way back out
$20 a month does not remove the verification problem, so the honest comparison is about drafting speed rather than safety. Buy it if you want the drafting; either way, budget the human time to check every citation, because no tool in this category has solved that.
$20/mo is cheaper than your weekend.
Keep every article with its sources, supporting passages and approval record, so a challenged claim can be traced rather than defended from memory. Store drafts as plain Markdown with citations inline — if the tool goes away, the provenance should not.
Active open-source interface for local and API-backed language models with retrieval features.
Questions
If the link works, isn't the citation fine?
No, and this is the specific trap. A working link to a credible publication passes every quick check — you click, the page loads, the branding is right — while the claim it supposedly supports appears nowhere on it. Verifying citations means reading the source for the claim, not confirming the URL resolves.
Does retrieval-augmented generation solve this?
It helps a great deal and does not finish the job. Grounding in retrieved documents stops sources being invented outright, but the model can still overstate what a passage says or attach the right source to a subtly wrong number. Storing the supporting passage next to the claim is what makes the remaining errors checkable.
Every week, someone ships something they shouldn’t have.
New verdicts, the worst thing that landed in the trap, and the occasional incident report. No other email, ever.
Comparing marketing variants is a prompt loop and a scoring rubric you invent.
You are building a thing that reads everything you type. At least this way, you are the one reading.
A grammar checker you run locally never has to be trusted with what you wrote.
last reviewed 2026-08-03 · verdict is editorial and unsponsored · shared entry data from canivibecodeit under MIT · not legal advice