Hey PH - been running content automation for a few months and figured I'd share what actually holds up.
Here's the thing about AI-written blogs: drafting is the easy part. Posts that rank need topic validation, internal links, JSON-LD schema, and an AI-SEO check before publish. Handle each of those manually and you've just traded one bottleneck for four. So I turned the pipeline into four Claude skills that chain together.
Topic Research pulls from People Also Ask, Reddit, Stack Overflow, and GitHub issues before you commit to anything. The goal is avoiding that situation where you finish a 2,000-word draft and realize nobody's searching for it.
AI tools generate ideas faster than anyone can sort them. I kept ending up with Slack threads, half-finished docs, and twelve tabs of "things to look into" - and no clear picture of what was actually shipping.
So I built agency-os. It turns Notion into a single board for working with AI:
You talk through ideas with the agent. It pushes back, asks clarifying questions, and scopes the work into tasks and subtasks on the row.
You approve before anything runs. Nothing dispatches autonomously - every execution is operator-gated.
Agents pick up approved rows, work in parallel respecting dependencies, and close them with result links.
The board is the source of truth. The agent is just an executor.
Tell it who you want to reach. It researches, finds contacts, and pushes a ready-to-send list straight to your CRM. No filter dropdowns. No scraper babysitting. One chat, every source, any audience.
What you can do with one prompt:
"Find Series A fintech startups in EU that raised this month - add founder emails."
"List 500 RevOps leaders at 50 500 HC SaaS companies, exclude anyone already in our HubSpot."
"Pull exhibitors from this conference site, enrich with titles + emails, push to CRM tagged 'SaaStr-26'."
