Product architecture & applied AI — agents, RAG, and automations that solve a concrete business problem.
Problem: The e-commerce store loses sales outside business hours due to delays in responding to and qualifying incoming leads.
Solution: Interactive chatbot with RAG connected to the product database to answer stock questions, qualify purchase intent, and automatically schedule demos.
Problem: Writing technical articles and blog copy for WordPress takes hours of manual work or produces generic text.
Solution: Multi-agent workflow that researches search intent, drafts content in Markdown, and automatically publishes SEO-optimized drafts.
Problem: Companies with hundreds of PDF manuals where employees or customers waste time searching for specific answers.
Solution: Minimalist interface backed by a RAG engine that indexes the documentation and answers complex questions, citing the exact source and page.
Problem: Portals with user-submitted listings suffer from spam, poorly categorized text, and inappropriate content.
Solution: Backend validation agent that analyzes each listing, filters out sensitive data, assigns accurate taxonomy, and extracts key tags in milliseconds.
Problem: Marketing teams lose hours every week downloading Meta/Google Ads reports to spot underperformance.
Solution: Interactive dashboard connected to an agent that analyzes metrics via API, detects wasted budget, and sends executive summaries.
Problem: Field workers in rural or low-connectivity areas can't record transactions or operational data in real time.
Solution: Progressive Web App (PWA) with background sync that stores data locally and pushes it through once connectivity is restored.
Problem: Fragmented off-site payment process that increases the abandonment rate during final conversion.
Solution: Implementation of native Payment & Wallet Bricks integrated directly into the platform's UX flow, with recurring billing.
Problem: Customer support team overwhelmed with tickets from repetitive order-status and billing inquiries.
Solution: Conversational agent connected to WhatsApp that checks status in the CRM/ERP and resolves requests without human intervention.
Problem: Slow, manual process for structuring complex commercial proposals with multiple cost variables.
Solution: Internal wizard-style application where the salesperson enters parameters and the AI drafts the scope, calculates margins, and issues a ready-to-send PDF.
Problem: Slow legacy system, difficult to maintain, with poor performance on load metrics (Core Web Vitals).
Solution: Complete restructuring that decouples the backend via a BFF pattern and migrates the frontend to a scalable, ultra-fast architecture.
