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Alex Novak's avatar
Alex Novak
Zhytomyr, 10000
Automation Architect | Reducing Operational Costs 50-80%
New to Contra
Automation Architect | Reducing Operational Costs 50-80%
Cover image for Goal: 6-agent autonomous pipeline that
Goal: 6-agent autonomous pipeline that finds, scores, enriches leads, and drafts personalized outreach across Djinni, LinkedIn, and Upwork — 10 leads per session, zero manual research. Challenges: - ICP Drift: Filtering competitors and poor-fit leads before enrichment - Personalization: Non-generic UA/EN messages, no templates reused Solutions: - Scope Guard: 5-dimension scoring cuts 30% of leads before enrichment - Claude agents: Language-aware message generation per lead location Results: - 70% ICP pass rate; 3 high-confidence messages in session 1 - Full pipeline live in 3 hours
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Cover image for Businesses don’t need AI. They
Businesses don’t need AI. They need predictable systems. A sports licensing company was manually processing 50–100 Zendesk tickets per week, spending up to 20 hours on repetitive classification and tagging. The obvious idea was to use an LLM. We chose not to. Licensing errors carry financial risk, and the data followed clear patterns. Instead of adding AI complexity, we built a deterministic rule-based pipeline with regex and API automation. Result: 15 hours saved weekly ($29K/year) with zero classification variance. AI is powerful — but only after process architecture is solid.
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Cover image for Shopify → Airtable Analytics Dashboard
Shopify → Airtable Analytics Dashboard for Courses & Educators Shopify doesn’t provide convenient analytics for courses and educators. Reviewing performance required manual filtering and exports, taking ~20–30 minutes per analysis. Solution - Orders were imported from Shopify into Airtable with a structured analytics layer: - Automated order sync - Course & educator data normalization - Sales and order aggregation - Visual dashboards and comparison views Result Reporting time reduced from ~30 minutes to seconds. Stakeholders gained instant visibility into course and educator performance, enabling faster and more confident decisions.
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Cover image for I built an automated check-in
I built an automated check-in system for a talent agency managing 100+ actors/models. Key Features: - Automated 30-day email check-ins with personalized form links - Smart filtering (excludes paired/withdrawn talent) - Airtable form integration for seamless response collection - Automatic status updates based on talent responses - Consecutive non-response tracking with auto-withdrawal - Response audit trail for compliance Result: Eliminated manual weekly check-ins, saving 5+ hours/week while maintaining 100% roster accuracy.
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