Built in public.
Proven in detail.
Selected case studies with real product interfaces, AI capabilities and automation infrastructure. The home page stays clean; this page contains the visual proof.
Hootibot.
AI chatbot and automation platform for building and managing intelligent bots across conversational channels. The product combines a management layer, knowledge base, analytics, channel connections and an n8n execution layer.
Bot management, monitoring, statistics, database connection and automated response controls.
Operational metrics, processed messages and automation success rate.
Structured knowledge used to improve the bot's contextual responses.
Telegram, web and Bale connection layer.
A guided configuration flow for defining the business context of a bot.
The workflow layer behind the product connects triggers, logic, AI processing and downstream actions.
Product UI + AI logic + automation infrastructure.
The screenshots show both the customer-facing management experience and the technical workflow powering it.
Hooti Coffee.
A digital café experience combining café discovery, table QR ordering, menu browsing, AI-assisted recommendations and active order tracking.
Quick access to nearby cafés, reservations, smart assistant, wallet and order history.
A direct flow from the table QR code into the café ordering experience.
The assistant understands preferences and suggests menu items with actionable add-to-cart choices.
Category-based browsing, product cards, pricing and quick add actions.
Customers can see the current order state and the next action in the café workflow.
Product UX + QR commerce + AI assistance.
The current proof covers the core customer journey from entering a café to receiving AI-assisted recommendations and tracking an order.
Admin dashboard · Cart / Checkout · Wallet · Profile · Nearby cafés · Backend / n8n workflow
Hooticall.
AI-driven calling and voice automation system connecting intelligent agents to phone workflows and routine conversations.
Call flow, agent logic, voice stack, automation workflow and outcome screenshots will be added here when available.
Workflow Library.
Automation workflows combining scheduled triggers, market data collection, Python processing, momentum scoring and structured storage for practical AI-assisted analysis.
Technical workflow combining scheduled collection, symbol and market-data processing, Python scoring logic and database insertion.
Automation architecture + Python logic + data processing.
The workflow demonstrates practical experience designing multi-step automations with scheduled execution, data merging, custom code and structured outputs.