Case studies: Django backends, automation, and AI products

AiVisible.pl is the AI visibility agency I founded and run: it audits, improves, and monitors how B2B brands appear in answers from ChatGPT, Gemini, Claude, and Perplexity.

Business value: A B2B company gets a clear answer whether AI assistants recommend it, who wins the competitive shortlist, and which changes improve visibility beyond classic SEO.

Outcome: An agency combining AI Visibility audits, GEO/AEO implementation, monitoring, education through a blog and knowledge base, and technical infrastructure for repeatable diagnostics.

An AI assistant for parents taken from MVP to a live subscription SaaS: Django/DRF backend, Stripe billing, and OpenAI-powered conversations.

Business value: A monetizable digital service launched quickly: subscriptions worked from day one and the architecture allowed adding AI and content features without rework.

Outcome: Operational SaaS product with a predictable revenue model and secure data handling.

Backend for Useme Plus, a membership product that lets freelancers settle work without registering a business: cost calculator, Autenti e-signatures, and automated membership validation.

Business value: A new revenue line for the platform, faster member onboarding, and a customer-service team relieved of manual validation.

Outcome: Functional Useme Plus product with cost calculator, electronic document flow, and automated membership validation.

Rebuilt job and freelancer search on Useme, a marketplace with thousands of active jobs a month: full filtering, an SEO tag system, a denormalized read model, rolled out under feature flags.

Business value: Simpler search for users, faster page loads through a denormalized read model, more Google visibility from a larger SEO tag base, and rollouts with no service interruption.

Outcome: Rebuilt search engine with full filtering by categories, tags, and phrase, SEO tag system with CSV import, and secure deployment process.

A daemon that scans KAS and tax-office listing pages every 2.5 seconds, detects new sale offers, prepares the e-mail application from the listing data, and reports every step to Discord.

Business value: In this process seconds decide: whoever detects a listing first can file the purchase request first. The team learns about a new listing within seconds instead of checking pages by hand.

Outcome: A monitoring service running near continuously: deduplicated detection, e-mails generated per listing type, Playwright fallback for protected pages, and full operational visibility in Discord.

A data pipeline for a services company that collects, normalizes, validates, and schedules outbound lead data so campaigns start without manual clean-up.

Business value: More qualified leads at lower operational cost and with higher data quality.

Outcome: Repeatable lead acquisition and handling process, ready for campaign volume scaling.

A Django automation suite connecting partner and internal APIs with asynchronous orchestration and SLA reporting, for an organization whose critical workflows ran across disconnected tools.

Business value: Shorter process cycle time and fewer manual errors in business-critical workflows.

Outcome: Predictable operational workflows with clear reporting and data quality control.