Built Gixo: an AI-native workspace for structured business deliverables
Hey IH,
I'm Hardik, a solo founder building Gixo.
I started it because most AI tools stop at draft generation, but the real work starts after that. You still need structure, editing, review, comments, versions, sharing, and export.
So I built Gixo as an editor-first workspace for structured business deliverables.
You can start from:
- a prompt
- uploaded documents
- existing content
And depending on the workflow, turn that into:
- articles, guides, and reports
- source-based business briefs
- presentations
- proposals
- legal and compliance drafts
The important part is that the output stays editable inside the product. It does not just dump text into a chat window and stop there.
Live in production. No paid customers yet. I'm also exploring Azure Marketplace as a distribution route for more serious buyers.
Quick demo: https://youtu.be/nCZlnWyBnoE
Core idea
The product is meant to cover:
generate -> edit -> transform -> review -> share -> export
instead of stopping at "here is some AI text."
What exists today
Content
- articles, guides, reports, and image-rich pages
- source-driven writing plus content-to-content transformations
- editing, review, publishing, and export in the same flow
Gixo Business
- upload source material
- generate structured business briefs
- create source-based decks from documents
- run recommendation / consultant-style workflows on top of uploaded material
Presentations
- turn topics, briefs, or existing content into decks
- themes, notes, editing controls, and exports
Proposals
- create proposal drafts from source material
- keep them editable, themed, shareable, and exportable
Legal / regulated work
- review-ready legal drafts
- structured compliance-oriented work product and supporting docs
Other surfaces
- structured visual outputs such as infographics
- a sales/sequences product
- a studio / book workflow
Some surfaces are deeper and more mature than others, but the common model is the same: generate, edit, review, and export inside one system.
What I think is different
Editor-first, not chat-first
I think AI is most useful when it lives inside a real workspace. In Gixo, generation is only one part of the workflow. The rest is editing, structure, review, and delivery.
Structured outputs, not loose text
The goal is not just fluent copy. The goal is work product that already has shape, sections, and a path to review.
Same source, multiple outputs where it makes sense
A document or topic can become a brief, article, deck, proposal, or visual derivative. That matters because a lot of business work is just repeated cross-format translation.
Review is part of the product
Comments, versions, sharing, and export are not add-ons. For business work, they are part of the core workflow.
Technical notes for builders
- ASP.NET Core 9.0 + Blazor Server
- MongoDB + Redis + Azure services
- multi-provider AI architecture
- OCR / file acquisition layer for upload-driven workflows
- background jobs via Azure Service Bus
- SignalR for live updates and collaboration
Where I'm stuck
The product is broad enough that "AI writer" clearly undersells it, but "general business AI platform" is too vague and too fluffy.
I may have built something useful, but I may also have built too much before nailing the clearest entry point.
Right now the main positioning question is:
How would you describe this in one sentence so a stranger immediately understands it?
What I'd love feedback on
- Does "workspace for structured business deliverables" land clearly, or is it still too abstract?
- Is the multi-product / multi-workflow model a strength, or does it make the product feel too broad?
- If you were seeing this for the first time, which wedge feels strongest: content, business briefs, presentations, proposals, or legal / compliance?
Happy to answer anything technical or share more of the build process.
