Automation that actually ships, not just lives in a doc.

Turn scattered tools and tribal knowledge into reliable systems. I help teams ship real-world automations — the kind that reduce manual work, clean up handoffs, and free your ops to breathe.

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Selected Automations

Automation Spine: Daily Runner + AI Issue Flow

One-command automation that runs in a managed virtual environment, pulls the latest notes, and uses OpenAI to generate and triage GitHub issues. Designed as a reusable template for turning messy daily workflows into a predictable, logged system.

  • Single entrypoint for the full daily workflow
  • OpenAI-generated GitHub issues with titles, descriptions, and labels
  • Repo hardened for sharing with clients, collaborators, and investors

Stack & Flow

  • Stack: Python 3.11, OpenAI API, GitHub REST API, Next.js (landing)
  • Trigger: Cron / manual invocation → ./run-daily.sh
  • Output: JSON summary, triaged GitHub issues, sanitized logs

Environment & DevOps Setup

Reproducible virtual environments, secrets management, and repo structure for reliable delivery.

Live Demo & API

Test the automation outputs and API endpoints. All responses are live JSON from this deployment.

/api/status/api/daily-summary/api/demo/view

Live Demo Preview

Sanitized sample outputs from the demo API
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Under the hood: a 5 AM automation heartbeat

Every morning at 5:00 AM PT, a Python runner wakes up your data, summarizes what matters, and turns it into actionable work inside GitHub.

The output of this 5 AM run feeds directly into a Daily Ops Briefing in Notion, where human judgment and automated context meet. Every day starts from the same shared snapshot.

Open today's Daily Ops Brief
🟡Automation: Degraded

Last run: Loading…

View workflow in GitHub

What actually happens at 5:00 AM PT

This isn't just a dashboard — there's a real automation stack running behind it.

Every morning at 5:00 AM PT:

  1. 1

    GitHub Actions wakes up the runner

    A scheduled workflow in daily-run.yml checks out the Avidelta / Ariadne repo and spins up a clean Python environment.

  2. 2

    Python + AI process your inputs

    A production script (daily_v2.py) ingests notes and operational data, then uses OpenAI to structure:

    • A clear daily summary
    • Key themes and changes since yesterday
    • Extracted action items and follow-ups
  3. 3

    Tasks become GitHub Issues

    Action items aren't left in a document — they're pushed into GitHub Issues so work can be assigned, tracked, and closed like any other engineering or ops task.

  4. 4

    Artifacts are committed and archived

    The runner commits generated outputs (JSON / DOCX / logs) back into the repo and uploads them as workflow artifacts, so every day's brief is versioned, auditable, and easy to revisit.

  5. 5

    Notion / Ops get a “morning brief”

    The system's output is designed to feed directly into a Daily Ops Briefing view in Notion, giving a single place where human judgment and automated context meet.

The result: a quiet, reliable “ops heartbeat” that turns messy notes and scattered signals into a structured morning briefing and concrete next actions — before you even open your laptop.

Resources

Free Automation Brand Template (Figma)

A reusable brand + layout system for automation, AI, and systems-focused studios.

Use it to:

  • • Set up a clean visual identity for your automation practice
  • • Reuse layouts for case studies, services, and pricing pages
  • • Keep decks, docs, and landing pages visually consistent
View the template on FigmaWork with me to customize it