The research, in plain English, as it lands: what changed, what it costs, and what a small business should do about it. Built from a standing watchlist of 73 AI builders and operators; every issue names its sources so each claim can be verified back to a real person and a real number. The first 10 issues are already drafted.
Short, recurring, trend-driven. Each one writes itself from the weekly builder-watch digest.
The real cost math of running AI: Amir's 44¢-vs-$2.38 model routing, Frédéric Auguste's "$30–60 of compute per heavy agentic day," Theo Browne's $200-subscription-buys-$8,000-of-inference, Gumroad's token-spend-matched-payroll month, Willison's tokenizer-inflation flags, Peter Yang's "tokenmaxxing."
Why it matters: cost your own builds correctly; sell an "AI cost audit" as a wedge.
Sources: Auguste, Amir (@amirmxt), Theo Browne, Willison, Peter Yang, Nate B. Jones, Sahil Lavingia.
Case-study format: Pigford's flips, Friks's $35K MRR, Wang's 20-agent company, Ryan Carson shipping ~10 PRs/day solo, Robby Houston's $100→$8.4K MRR agent experiment, Sahil's project-based pay.
Why it matters: this is the lifestyle your AI Build Services customers are buying into — speak their language.
Sources: Josh Pigford, Jack Friks, Nathan Wang, Ryan Carson, Robby Houston, Sahil Lavingia.
Each issue profiles one builder framework: Jason Zhou's Loop Engineering, IndyDevDan's hooks/skills, Nick Saraev's Claude Routines, Cole Medin's Archon harness, Matt Van Horn's /last30days skill.
Why it matters: adopt the best primitives into the build factory; teaching them builds authority.
Sources: Jason Zhou, IndyDevDan, Nick Saraev, Cole Medin, Matt Van Horn.
What the HighLevel ecosystem is actually doing: vertical micro-SaaS at ~$97/mo (Heidi Ryder's Keepful, Marc Aristide's loyalty SaaS), rebilling as a margin layer, the snapshot economy (Sean Faber's AI-generated snapshots), AI fulfillment replacing agency labor (Sean Standberry's <$7/client delivery).
Why it matters: directly applicable to CED's GHL work and SaaS packaging.
Sources: Heidi Ryder, Marc Aristide, Keaton Walker, Sean Faber, Sean Standberry, Paulson Thomas, Dakota Routh.
As generation gets cheap, design quality is the differentiator: Meng To's war on AI slop, UI Collective's "train AI on your design system," Sabrina Ramonov's tool-switching honesty.
Why it matters: raise the bar on every client deliverable; a design-forward message stands out in a builder-noisy market.
Sources: Meng To, UI Collective/Kirkland, Sabrina Ramonov.
OpenClaw's consolidation: Steinberger joining OpenAI, 2.0 shipped with foundation backing, and the builder cluster standardizing on it (Finn, Carson, Van Horn, Claire Vo running nine agents).
Why it matters: whoever owns the personal-agent runtime owns the next interface — position CED early.
Sources: Peter Steinberger, Alex Finn, Ryan Carson, Matt Van Horn, Claire Vo.
Sabrine Matos (~$456K ARR, non-technical, 45-day MVP), Jacob Klug ($250K/mo agency on Lovable), Tony Dinh's BYOK margin strategy ($137K/mo), Danny Postma's one-off pricing at $10M lifetime.
Why it matters: more pricing shapes than "MRR or bust" — useful for packaging one-time builds vs. retainers.
Sources: Sabrine Matos, Jacob Klug, Tony Dinh, Danny Postma, Marc Lou.
Cody Schneider's Swell AI (one recording → full content calendar), Drafthorse's AI SEO articles, Jesper Nissen's parasite-SEO-on-social playbook feeding AEO/GEO citation capture.
Why it matters: this is the engine behind a content offer — and behind CED's own content.
Sources: Cody Schneider, Jesper Nissen, Sabrina Ramonov, Matt Wolfe.
The deflationary pressure (Auguste's $25K→$299 audit) against clean pricing anchors: Aaron Edwards's $2K setup / $500/mo AI-agent resale, Koerner's consultants at $500–$5K/mo, Aristide's $97/mo micro-SaaS, Hormozi's offer math.
Why it matters: the single most useful issue for CED's own packaging decisions.
Sources: Frédéric Auguste, Aaron Edwards, Chris Koerner, Marc Aristide, Alex Hormozi.
Firecrawl's Alexandria (pay data contributors when agents use their data), x402 machine payments, Cloudflare's pay-per-crawl/use — bot-facing data access being productized and priced in real time.
Why it matters: feeds directly into the bot-paid-info research and any CED data/API play.
Sources: Caleb Peffer, Nate B. Jones, bot-paid-info-research synthesis.
A sponsor slot in Human-N-Loop puts your product in front of owners actively researching which AI to buy. Sponsorship is labeled, and it never changes coverage.
Details and booking open once the first issues publish.