The story
About AWP
One person's field notes on what actually survives in production — solo media ops, video, e-commerce, data, and end-to-end AI automation. Written by someone who has personally broken all of it.
You might be here because one of these is eating your evenings
- You run a one-person media operation, and the pipeline — sourcing, writing, illustrating, publishing, tracking — has quietly taken over every night after dinner.
- You wired up an AI automation flow that runs fine twice and breaks on the third try. No one tells you which link in the chain is actually fragile.
- You're making video or short-form content, and a single post costs a full working day per clip.
- You're running cross-border e-commerce or growth funnels, and every channel demands attention before the others start working.
- You're still cleaning Excel, PPT, and scraped data by hand, wondering how you ended up doing data-entry for a living again.
If I haven't personally broken it, I won't write about it.
What lands here is what survived in my setup last month — not what the launch-day demo promised.
The platform
What's live on AWP today
290+ curated tools
Every entry verified, priced, and rated — no pay-to-play listings.
Browse the directoryHead-to-head comparisons
Live data tables plus an editorial verdict on which tool fits which workflow.
Compare toolsStacks, not just tools
Curated combinations for real roles — each with a step-by-step playbook.
Pick a stackDaily intelligence
AI tool releases, research, and industry moves — tracked every day.
Read the newsThe five tracks this site covers
Track 1 — The one-person media stack
The full pipeline a solo creator actually needs: sourcing, long-form and short-form writing, AI illustration, multi-platform publishing, distribution, and the analytics feedback loops that tell you what to write next. The point isn't "save time." The point is: run a media company without hiring.
Track 2 — Video and short-form at scale
Explainer videos, storyline mashups, product ads, TikTok and YouTube shorts — from script to export, end-to-end. Not "how to use CapCut." The pipeline.
Track 3 — E-commerce and growth engines
Cross-border listings, product videos, keyword matrices, Google / Meta / TikTok ad systems, landing page conversion — the full stack from sourcing a product to shipping your first order.
Track 4 — Office automation and data collection
Batch Excel, PPT, and PDF processing, all-platform scrapers, automatic report generation. The goal is to take the repetitive work off your hands entirely.
Track 5 — End-to-end AI automation with Claude Code, Skills, and multi-agent
Which processes Claude Code can actually replace. Which judgment calls it's trusted with. Which setups blow up once you scale past three runs. Deep teardowns with the complete SKILL.md and configs — not a five-minute demo.
Plus the live infrastructure on this site: the AI tool directory, head-to-head comparisons and daily AI news digests.
What's shipping next
The work-in-progress pile, released one piece at a time. Each piece ships when it's actually tested, not on a calendar — some weeks it's a short tool note, some weeks a 30,000-word field guide.
① The AWP Skill library — around 100 production-grade Skills
Claude Code Skill teardowns spanning every track above. Each one is a Skill actually run on real tasks: the complete SKILL.md, the step docs, the scripts, and the bugs hit on the way. Not hello-world examples.
② The AWP CLI toolbox
Python and shell utilities you can drop into real work — cross-platform publishing, all-platform data collection, media processing, email automation, cloud storage, ad platform controls, CMS management. Each tool ships with the deploy guide, the credential model, and the traps along the way.
③ Multi-agent coordination, from scratch
Going from a Claude Code solo operator to a ten-agent internal "company": department structure, task pooling, agent memory, handoffs, cross-machine deployment. Not a framework pitch — an actual working coordination backbone, documented from two agents up to ten.
④ The Claude Code deep-dive series
One production workflow per post, torn down to the bones: SKILL.md design, Hooks orchestration, SubAgent calls, Worktree isolation, MCP integration, plugins, cost control, cross-model validation.
⑤ Research breakdowns, made actionable
MIT, Stanford HAI, Anthropic papers — translated out of academic register and into "here's what this actually changes in your workflow this week."
⑥ The solo-operator playbook
The top-level operating system that ties the tracks together: editorial strategy, content factories, brand laddering, distribution patterns, data feedback loops, growth leverage.
Who this site is for — and who it isn't
For you, if: you're a technical writer, an indie creator, an indie maker, a marketer tired of fighting for each keyword, a cross-border e-commerce operator, a solo media operator, or anyone building their own knowledge-driven business.
Not for you, if: you want "What is ChatGPT" explainers, a "10x your output" sales pitch, or someone to outsource the actual work to. That content lives everywhere else on the internet. It doesn't live here.
Why my take is worth the time
I've been chasing the same question for years: how do you make a thing run without sitting here clicking through it every time? Chasing that question took me through four generations of tools — SaaS low-code, self-hosted open source, AI coding, and now the early shape of multi-agent coordination. The tools keep churning. The question underneath them never does.
Every wave left me with something that looked impressive at the time and looks naive in hindsight. What's worth reading isn't the impressive parts. It's what I threw out, why I threw it out, and what's still standing.
Where to go next
Join the community below, or follow the build in public on X/Twitter and YouTube. Something wrong, or I missed a case? Email me at [email protected].
— Leo
Community
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