Behind the Scenes
How Case Distillery ships a decoded case every day — with 1 person + 1 AI assistant.
Not a newsroom. Not a ghostwriting agency. Not a content farm with 12 freelancers and a Notion kanban.
Just me and an AI system I call AgentValet, running the entire operation: daily case harvesting, bilingual rendering, paywall middleware, marketing distribution across X / WhatsApp / Reddit, and the subscriber commerce layer.
Here's exactly what it does, what it costs, and what it produces.
What AgentValet does on Case Distillery
Daily editorial pipeline (would normally require a research editor + translator + web developer):
- Reddit harvester scans 8 subreddits (r/SaaS, r/Entrepreneur, r/IndieHackers, r/microsaas, r/smallbusiness, r/sidehustle, r/EntrepreneurRideAlong, r/SideProject) for operator cases with real numbers
- Topic boundary enforcement — hard filter against macro news, unicorn coverage, anything without a named individual + quantifiable outcome + replicable mechanism
- Full bilingual rendering: English + Chinese, same issue, same day
- SEO-friendly HTML output with structured data, archive index, blog mirror for free-tier SEO pages
- Cloudflare Pages deploy — source to live in under 60 seconds
Distribution (would normally require a social media manager):
- X (Twitter) thread publisher — each issue distilled into a 5-tweet thread, last tweet carries the link. Cost: $0.275/thread via X API pay-per-use
- WhatsApp channel broadcast — formatted for mobile-first reading
- Reddit distribution — posted to relevant subreddits with unique angle per community
- Each channel gets a different title — no template-fill repetition (learned this the hard way)
Site engineering & commerce:
- Stripe subscription integration — $99/yr founding rate, $199/yr standard, $29/mo monthly
- Paywall middleware on Cloudflare Workers — token-based access, magic-link delivery, issue-scoped unlock
- Bilingual site architecture (EN at /, ZH at /zh/) with shared templates
- Security: subscriber data stays in D1, no third-party analytics, no tracking pixels
The real output
Since launch:
- 1 decoded case every weekday — harvested, verified, written, rendered, deployed, distributed
- 2 languages per issue — English + Chinese, same quality bar
- 4 distribution channels — site, X thread, WhatsApp, Reddit
- Zero missed days from pipeline failure (retracted issues were editorial judgment calls, not system outages)
Time & money saved
Running a daily decoded-case publication at this cadence traditionally needs at minimum:
- 1 research editor — source discovery, case verification, narrative structuring
- 1 translator — native-level EN↔ZH editorial translation (not machine translation)
- 1 web developer — build pipeline, paywall logic, deploy automation
- 1 social media manager — daily distribution across 4 channels with platform-native formatting
Traditional cost: ~$8,000/month (4 people, even at freelancer rates for a daily publication).
What I actually pay:
| Item | Cost |
|---|---|
| AI / API usage — powers this site + 7 others | $600/mo |
| VPS hosting | ~$24/mo |
| X API (pay-per-use, ~22 threads/month) | ~$6/mo |
| AgentValet — one-time setup + monthly tuning | from $275 one-time |
| Total operating cost across all sites | ~$650/mo |
Net saving: ~$7,350/month, or ~$88,200/year — compared to staffing a 4-person daily publication team.
And the publication never sleeps. Harvester runs at 4am, pipeline builds by 9am, distribution fires by 10am. No sick days, no timezone friction, no editorial meetings.
What runs the AI side
The AI models behind AgentValet aren't proprietary — they're standard Claude and GPT-4 APIs, accessed through a relay that cuts token cost roughly in half compared to going direct to Anthropic or OpenAI.
The relay I use is LLMRelay — pay-as-you-go, no monthly commitment. Same models, priced at about 50% off list. A daily publication like this one burns through tokens fast; that discount alone saves me roughly $600/month vs direct pricing.
If you're building anything AI-heavy — content pipelines, research tools, automation layers — you can sign up free, use the 500K free tokens to benchmark your workload, then top up any amount.
→ Sign up for LLMRelay — 500K free tokens
Want the same setup for your publication?
If reading this made you think "I want this for my newsletter / content site / research publication" — that's exactly what AgentValet does.
Three tiers:
- Starter — $275 one-time. Base install on your VPS, Telegram bot connected, initial workflows configured.
- Pro — $415 one-time + $29/month. Ongoing tuning + priority queue.
- Business — $690 one-time + $55/month. Full white-glove setup, custom editorial pipelines.
Not sure you need the full setup? Start with LLMRelay tokens — same underlying AI, half the API cost.
→ Try LLMRelay — 500K free tokens on signup
Frequently asked
Q: Are the case studies AI-written?
A: The research discovery, data verification pipeline, and first-draft narrative are AI-produced. I review every issue for accuracy, editorial judgment, and publication-worthiness before it ships. AI writes; I edit, verify, and decide what publishes.
Q: Why show this? Doesn't it undermine trust?
A: The opposite. Case Distillery readers are operators and builders — they respect transparency about tooling. What matters is accuracy and insight quality, not whether a human typed every keystroke.
Q: Can you do this for a non-business niche?
A: Yes. AgentValet is niche-agnostic. The pipeline patterns (daily harvesting, bilingual rendering, multi-channel distribution, paywall commerce) work for any subscription content product.
Last updated: 2026-07-23