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UniDraft

UniDraft vs Generic AI Writing Tools: What's Actually Different

A side-by-side comparison of a generic AI chat tool and UniDraft's compliance-engine workflow

The honest comparison isn't "AI vs no AI" -- it's what a general-purpose tool is built to optimize for versus what an academic document actually needs.

What a generic AI writing tool is built for

Tools like ChatGPT are built to produce fluent, plausible continuations of text based on a prompt. That's genuinely useful for brainstorming, phrasing help, or summarizing a source. It is not built to verify that a stated result matches your actual data, apply your specific department's formatting guideline, or remember what changed between correction round one and round two of a 90-page document.

Where the gap shows up in practice

  • Invented results. Ask a generic tool to "write a results section" without giving it your actual data, and it will often produce something plausible-sounding rather than admitting it doesn't have real numbers to work with.
  • Formatting drift. A generic tool has no persistent state about your document's established formatting -- each response is generated independently, so consistency across 90 pages relies entirely on you re-specifying and re-checking it.
  • No institution-specific rules. It doesn't know your department's guideline unless you paste it in every time, and even then, has no structural way to guarantee every chapter actually follows it.
  • No version safety. There's no built-in way to preserve the version your supervisor already reviewed before you start applying their corrections.

What a purpose-built tool does differently

UniDraft is built around a different goal: take your real topic and real results, and assemble a compliant document around them -- never inventing findings, applying your supervisor's, department's, and university's formatting rules in the correct precedence order automatically, and preserving every version before a correction is applied.

The honest tradeoff

A generic AI tool is more flexible and free to use for general writing help. A purpose-built tool trades that flexibility for structural guarantees specific to academic documents -- no invented results, consistent formatting, safe corrections -- that matter more the closer you get to submission.

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Frequently asked questions

Can't I just do everything UniDraft does manually with ChatGPT?

You can use ChatGPT for phrasing help and get a reasonable amount of the way there, but you'd be manually re-verifying formatting consistency, manually checking citations against your reference list, and manually tracking versions across correction rounds -- all things a purpose-built tool handles structurally rather than relying on you to remember every time.

Does UniDraft replace doing the actual work or research?

No -- UniDraft explicitly does not invent results, findings, or approvals. You bring your real topic and real results; the tool builds the structured, compliant document around them. It's a document-assembly and compliance tool, not a substitute for doing the underlying academic work.

Why would a generic AI tool invent results?

General-purpose language models are trained to produce plausible-sounding continuations of text, not to verify facts against a source of truth -- so when a gap exists (a missing data point, an unclear detail), a generic tool will often fill it with something that sounds right rather than flagging that it's missing. This is one of the most damaging things that can happen in an academic document.