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Hi, I'm an SEO content writer for AI, SaaS, and tech companies.
What makes my writing different: I have a Computer Science background, so I actually understand the products I write about — not just enough to sound fluent, but enough to get the technical details right.
I write:
→ SEO-optimized articles and blog content
→ Thought leadership on AI/SaaS topics
→ Product comparisons and tool roundups
Recently published pieces on context engineering, AI memory layers, and multi-agent systems — all live on my profile.
If you're building in AI or SaaS and need content that's technically accurate and built to rank, let's talk.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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I recently designed and developed a complete website through AI. It is live, launched, and already selling a real product.
LOLCRM is an AI-native operating system for venture capital and private equity funds. Its agents research deals, prepare scorecards, draft outreach, and write investment committee documents.
The people behind the fund stay responsible for two actions: supervise and approve.
The difficult part was explaining that system without turning the website into a technical document. A detailed pitch deck already handled capabilities, so the site needed to tell a faster visual story.
A signal enters. An agent gathers context. A draft waits for approval. One click sends the action and updates the deal.
I used AI throughout the design and development process. But I still had to decide what the visitor should understand first, which details belonged in the deck, and how the product should feel to a VC or PE partner.
That is why the site avoids the usual bright SaaS treatment. I chose a dark palette, thin white lines, restrained isometric graphics, and a blueprint-like visual system.
AI did a lot of the production work. It did not decide the narrative, product position, or visual direction.
That distinction matters. A tool can generate another generic landing page in minutes. Someone still has to understand the process, control the style, and know what the product needs to communicate.
For LOLCRM, the output became a working product asset rather than an AI experiment.
@Vladyslav Holdysh The signal-to-agent-to-approval sequence makes the workflow tangible, and the blueprint-like visuals suit the supervision model. Did you test that story with fund partners?
