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I designed and built AuditCloser, a white-label website auditing SaaS for digital agencies. It scans websites across SEO, conversion, accessibility, security, technical performance and AI-search readiness, then turns the findings into clear, client-ready sales opportunities.
I built the product end-to-end, including the audit engine, scoring system, opportunity estimation, detailed findings and recommendations, white-label agency branding, PDF/print reports and embeddable lead capture. AuditCloser is designed to help agencies move from identifying website problems to presenting evidence-backed, scoped opportunities they can sell to clients.
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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Designed a tech stack and toolkit section for a web design and development agency.
The goal was to present the technologies and creative tools behind the agency's work in a clean, structured, and easy-to-explore layout.
A clear visual hierarchy, grid-based layout, subtle dividers, and teal accents keep everything consistent with the overall brand identity.
For agencies and SaaS founders, a website should do more than look good. It should communicate expertise, build trust, and make it easy for potential clients to understand what you offer.
That's the thinking I bring to every design.
Designed in Figma.
The grid dividers keep the tool list easy to scan. Nice restraint with the teal.
After weeks of 14–16 hour workdays, late nights and countless iterations, our new website is finally live! 🚀🌙
Built using Claude Code, Codex, Claude Design, Higgsfield and Figma.
AI is incredibly powerful when used correctly. With the right expertise, creativity and attention to detail, you can create something truly unique that doesn’t look or feel AI-generated.
AI accelerated. Expert led.
I’d love your feedback! What part of the website do you like the most? 👀:
great keep it up
Project AIR is an open-source toolkit that keeps a tamper-proof record of what AI agents do. Every action an agent takes gets signed, chained to the step before it, and tied to the person who authorized it. The chain is anchored to Sigstore Rekor, a public transparency log, so anyone can check later that nothing was changed or deleted. When something goes wrong, you can show exactly what happened and who approved it, instead of just saying it happened.
It also runs 16 detectors over every record, covering all ten risks on the OWASP Top 10 for Agentic Applications, three from the OWASP list for LLM apps, and three of its own. It can stop an agent mid-action until a person signs off. It plugs into LangChain, LlamaIndex, and the OpenAI, Anthropic and Gemini SDKs with a line or two of code.
I built the Python library and command-line tool, published on PyPI as projectair (now at version 1.3.1) under the Apache 2.0 license, plus the website and dashboard in SvelteKit. We run it on our own infrastructure too: every request to vindicara.io is recorded and anchored to Rekor every minute.
Impressive work! 👏 Excellent approach to AI agent security, tamper-proof audit trails, and human oversight for more trustworthy AI systems.