Make.com Workflow Automations

Alongside the HARPA AI suite, I built a set of Make.com automation scenarios that served as the backend infrastructure for Webselenese's AI content operation. These scenarios handled everything from document conversion and API logging to image processing and server monitoring — running live and processing requests continuously.

Each scenario was webhook-driven and integrated with multiple external services, built to handle conditional routing, error states, and structured data logging without manual intervention.

• Markdown ↔ Google Docs Pipeline — Two-way document conversion: receive Markdown via webhook and export to Google Docs (with branching router for different output formats), and convert GDoc URLs back to Markdown via Google Drive API.
• Anthropic API Logger — Webhook-triggered scenario logging structured Claude API usage data across multiple Google Sheets tables for usage tracking and cost analysis.
• Railway Server Monitor — Logged server request data from the Railway deployment to Google Sheets in real time.
• Image Design Prompt → Email — Received design prompts via webhook, dispatched via Gmail, polled for reply, and returned the email response to the caller.
• All scenarios ran live in production, processing real workflow data for the AI Research team.