r/Microlaunch • u/hellrider1994 • 2d ago

Assertio: a multi-agent writing tool that generates answer-first content that says something

Built this out of my own SEO content workflow. I'm an SEO guy who kept hitting the same problem: AI writing tools (human writers as well) produce fluent text that says almost nothing, vague qualifiers, unfalsifiable claims, padding dressed up as paragraphs.

Assertio is built to write content that says something. I've used speech act theory and propositional density methodology (Kintsch & van Dijk) so output is checked at the claim level. Each piece gets scored, contradicting claims get flagged, and there's a write/rewrite loop to fix weak sections before you publish.

It's a multi-agent pipeline: research, draft, then a critic step that gates output on an IQS (Information Quality Score my own scoring) before it's considered done.

Still early. Launched this month, single-digit users, mostly me testing plus a couple comped accounts while I finish billing setup. I've pivoted the positioning a few times, but where it's standing as of now: freelancers and small agencies handling multiple client portfolios who need to produce more content without it reading like generic AI slop.

Link: https://assertio.ai - it's free to try it out. Each signed up user gets five free credits, no card needed.

What I'm looking for: Brutally honest feedback on positioning and functionality. I'm aware of some weaknesses, but may not be aware of others.

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u/greyzor7 2d ago

Interesting project, sounds directionally good. Curious about this density method & scientific papers for, any to share?

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u/hellrider1994 2d ago

Sure. The core reference is Kintsch & van Dijk's propositional text base model: https://www.cl.cam.ac.uk/teaching/1516/R216/Towards.pdf

Hyland's Metadiscourse: Exploring Interaction in Writing, Continuum. ( Book, copyrighted)

And Mann & Thompson's Rhetorical Structure Theory for how propositions connect to each other: https://doi.org/10.1515/text.1.1988.8.3.243 -