TechRiseUps — Autonomous AI Editorial Engine I Built and Operate

Project overview

TechRiseUps is a tech-media platform I designed, shipped, and run myself. It researches winnable keywords with DataForSEO, drafts long-form articles with Claude, generates on-brand hero images with gpt-image-2, then passes every draft through a strict AI reviewer that returns PASS, FIX, or FAIL before anything goes live. Publishing is fully API-driven — a token-scoped ingest endpoint means new articles appear with zero redeploys — and it runs two tracks on one codebase: editorial content and money (affiliate) comparisons, each with its own structured data and internal linking. It's the same research-to-publish, E-E-A-T-conscious architecture I build for clients who want content — or any repetitive workflow — running on autopilot.

Results

The challenge

Tech publishing has a brutal math problem: ranking content needs real research, original writing, citations, and constant refreshing — and doing that by hand doesn't scale past a few posts a week. The cheap fix, spinning up a content farm, gets you de-indexed and earns nobody's trust. I wanted to prove a third path: a site that publishes like a small, credible newsroom but runs almost entirely on automation. The hard part was never generating words — it was generating words good enough to survive a strict editor every single time, with real sources, a named author, and an E-E-A-T posture Google actually rewards. If you want content, or any repetitive workflow, running unattended without turning into spam, book a free call.

What I built

Key features