AI Proposal Generator: How VEYQO's AI Drafting Actually Works

Most "AI proposal generator" features work the same unflattering way: you type three words, and the tool fills in the rest with confident-sounding nonsense: invented years of experience, a client testimonial that doesn't exist, a "proven track record" it has no way of knowing anything about. That's a real, common failure mode of AI writing tools, and it's the specific thing VEYQO's AI drafting is built to avoid. This article describes exactly what the feature does and doesn't do: no more than that.

What it actually does

VEYQO's AI drafting is built on OpenRouter. Every plan gets one free AI-generated proposal to try it on a real project; after that it's a Pro-plan feature. On the proposal creation screen, there's an "AI Generate" option that opens a dialog with a single text field: a short brief describing the project you want to propose. You write a few sentences, what the client needs, roughly what's involved, any numbers you already know, and submit it.

What comes back is a structured first draft, not a finished document:

• Title: a short proposal title
• Introduction: two short paragraphs addressed to the client
• Project understanding: two to three paragraphs demonstrating the brief was actually read and understood
• Scope: what will be done, broken into bulleted sections
• Deliverables: a concrete checklist of what the client receives
• Timeline: a phase breakdown, but only using timing your brief actually supports
• Payment structure: a short paragraph on how payment is split
• Closing: a professional sign-off
• Line items: a set of items with quantities and prices, ready to drop into the pricing section
• Needs input: up to six short, specific questions about anything your brief left unclear

That last item is the part worth paying attention to, because it's where the design choice actually shows up.

Why "never invent facts" is the whole point

The system prompt behind this feature has one rule that overrides everything else: it must never invent facts about your business. No years in business, no past clients, no certifications, no awards, no team size, no technologies you've supposedly used, none of it, because the model has no way of knowing any of that about you. It's the same restriction for the client's business: nothing beyond what your brief actually states.

When a detail would make the proposal stronger but isn't in your brief, the draft does one of two things instead of guessing: it inserts a bracketed placeholder like [CLIENT NAME] or [YOUR EMAIL] for you to fill in, or it writes the section conservatively without the detail. It will not invent a deadline, a milestone, or a deliverable count your brief doesn't support, if you didn't mention a number of revision rounds, it won't make one up and present it as agreed.

The same restraint applies to tone. No marketing hype, no fake urgency ("limited spots," "act now"), no manufactured scarcity. No testimonials, no client logos, no performance statistics, because none of those exist until you've actually delivered work and a client has actually said something: inventing them isn't a shortcut, it's a lie in a document you're about to put your name on.

Money follows the same rule: currency amounts have to come from your brief. If you give it a total, the line items it drafts are built to add up to that total rather than to some number the model decided looked reasonable.

Writing a brief that gets a usable draft

The quality of the draft tracks pretty directly with the specificity of what you give it. A brief like "redesign a website" produces a generic draft with a lot of placeholders and needsInput questions, because there's almost nothing to work from. A brief like this produces something closer to a usable first pass:

Redesigning a 6-page small business website for a local coffee shop: home, about, menu, locations, blog, contact. Mobile-responsive rebuild on their existing domain. Client is supplying their own copy and photos. Looking for roughly a 6-8 week timeline and a flat fee around $4,500, with a 50% deposit.

That gives the model a scope to work from, a rough budget to build line items against, and a timeline to structure phases around: the kind of specificity that turns a vague instruction into an actual draft you mostly edit rather than mostly write.

What it asks you for instead of guessing

If your brief is missing something that matters, the client's name, a firm deadline, whether revisions are included, the draft doesn't fill the gap with an assumption. It shows up in the needsInput list: short, specific questions about exactly what's unclear, ordered by importance, capped at six so the list stays useful instead of overwhelming. A tight, well-specified brief might come back with an empty needsInput list. A vague one will ask you directly for what it couldn't responsibly guess.

What this is, and what it isn't

This is a drafting accelerant for a freelancer who already knows their business and their project, not a tool that produces a finished, send-ready proposal from a two-word prompt. You're expected to review every section before it goes out: fill in the placeholders, answer the needsInput questions, adjust anything that doesn't quite fit. If generation fails for any reason, the dialog explains what happened and you write the proposal by hand instead: AI here is an accelerant, never a gate to actually using the product. Generation is also rate-limited on the server, so it's built for drafting proposals one at a time, not for mass-generating documents.

The honest way to think about it: it turns a rough brief into a structured starting point faster than a blank page would, and it's deliberately conservative about anything it doesn't actually know, which is a less impressive demo than a tool that confidently makes things up, and a more trustworthy one to actually send to a client.