← Back to projects

Daily Edge - Technical Intelligence Automation

Plain-English summary: A private automation pipeline for daily technical intelligence reports, validation, publishing handoff, and downstream workflow readiness checks.

Scope

Built a private automation runner that turns daily technical research into validated report artifacts and controlled downstream workflow handoff.

Python CLI Docker n8n Validation Automation Security Hygiene

Technical Architecture

Problem/Context

  • Daily technical intelligence work needed repeatable structure instead of ad hoc manual handling.
  • Generated reports needed fail-closed validation before publishing or downstream processing.
  • Automation boundaries had to keep private content, credentials, and connected-service details out of public artifacts.

What I Built

  • Implemented CLI commands for report initialization, validation, publishing handoff, and workflow readiness checks.
  • Added validation for report naming, structure, placeholders, private-data patterns, and credential-like content.
  • Separated content generation, validation, publishing, and downstream automation responsibilities for safer operation.

Responsibilities

  • I designed the automation architecture, CLI behavior, validation rules, and container-friendly operation model.
  • I kept private reports and connected-service internals out of public documentation.
  • I treated workflow readiness as an operational control, not a marketing metric.

Constraints

  • This is private automation, not a public news product.
  • Raw report content, connected-service internals, automation endpoint details, and runtime state files remain private.
  • No public usage or adoption claims are made.

Outcome/Value

  • A repeatable report workflow with stronger validation and safer publishing handoff.
  • A clearer separation between research output, automation control, and downstream processing.
  • A useful proof point for practical AI-assisted workflow operations without exposing private content.

System Concepts

  • Fail-closed validation for generated artifacts.
  • Automation boundary design for private workflows.
  • Operational readiness checks before downstream handoff.