AI Workflows Every Agency Should Steal: 12 Real Examples

The signal: real workflows with receipts

On August 5, 2026, Rowan Cheung — founder of The Rundown — reported that the new Community AI Workflow Hub had drawn "hundreds of detailed submissions in the first couple days" after its August 2 launch, with readers calling it their favorite part of the newsletter (the post had about 16K views at capture). The hub is positioned as "the Reddit for AI use cases": anyone submits a workflow with the story, the step-by-step method, the tools used, and the real cost. Every day the top-voted workflow is featured to roughly 2 million newsletter subscribers.

That is the signal of the quarter for anyone running an AI agency. Not another model benchmark. Not another tool launch. Hundreds of people, in the first few days of a new community, submitting detailed descriptions of the AI workflows they actually run — with numbers attached. The market wants practical, real-world AI automation examples with receipts. If you sell AI agency services, this is the exact conversation your clients are starting to have.

What the Community AI Workflow Hub is

The hub at app.therundown.ai/community is a structured submission feed: story, step-by-step method, tools used, industry, and tags. Posts carry upvotes, comments, bookmarks, and an Editor's Pick badge, with a weekly leaderboard and trending-tools rail on the side.

Because the submissions are structured, the data is unusually usable. You can see at a glance which tools dominate — Claude Code (50 workflows), ChatGPT (47), Claude (41), Claude Cowork (17), Codex (15), Gemini (14) at the time of research — and which use cases keep winning votes. The workflows below are the 12 strongest examples compiled from the hub's first days, and all 12 post URLs were verified live on August 5, 2026. One caveat before we get to the table: this is the first few days of a brand-new community, so the hub data is not exhaustive — it is a first-mover window, and that is exactly why it is worth owning now.

The pattern that wins: cheap, scheduled, email-first

Read through the top submissions and three patterns jump out. First, cheap-first is the norm. The most impressive-sounding builds cost almost nothing to run: a six-agent DeepSeek crew that handles home network, security, and comms on autopilot runs on a home server for a few cents a month; full meeting transcription with speaker ID and summaries comes to ~$0.01/meeting; one builder replaced a $38/mo QuickBooks subscription with a Claude-built Python pipeline; and a voice health tracker runs on free tiers only.

Second, scheduled autonomous agents beat assistants. The highest-signal posts are recurring tasks with zero input: "runs every Monday morning without any input from me," the receipt ledger; a morning revenue brief that auto-sends itself; a job recruiter that searches, scores, and emails every day. Third, email is the universal integration surface. Receipts, job alerts, morning briefings, archive outreach — it all moves through Gmail in and email out. For agencies, that combination — cheap, scheduled, email-connected — is a service menu waiting to be written.

The 12 verified workflows

Every row below is cited to its verified post on the hub. Costs and upvote counts are taken verbatim from the research ledger; where a builder did not publish a cost, the cell says "Not stated" rather than inventing one. The Editor's Pick at 107 upvotes is the ChatGPT Work recruiter and dashboard, which was also featured in the newsletter.

Finance and admin: copy these two first

Replacing a paid subscription is the easiest pitch you will ever make. Michael Saif's financial budget tracker uses Claude to build a Python parser, spreadsheet, and dashboard that replaces QuickBooks — saving $38/mo — and it was featured by the newsletter at 70 upvotes. The client-facing version of this is obvious: "we will replace your $38/mo tool with a pipeline you own." It is a concrete, measurable win that any SMB owner understands immediately.

Erich Archer's weekly receipt-email ledger (44 upvotes, featured) is the other copy-this-one. A scheduled Claude task reads receipts from a Gmail label, dedupes by message ID, maintains an expense ledger, and flags duplicate subscriptions and price changes — "runs every Monday morning without any input from me." That is a retainable monthly service: one scheduled agent, one client, one recurring line item. The prompt is the product, and the dedupe logic by message ID is the kind of detail that separates a demo from a deliverable.

Meetings and knowledge: nothing falls through the cracks

Steve Farmer's meeting workflow (7 upvotes) sends meeting audio to a local AI agent over Telegram for transcription with faster-whisper, speaker diarization, a DeepSeek summary, and action items with owners, due dates, and evidence quotes — all for ~$0.01/meeting. This is the single most productizable workflow on the list for agencies: discovery calls, strategy sessions, and status meetings converted into billable follow-ups automatically, with the receipts to prove what was said. It is also privacy-friendly by design — local transcription, SQLite storage, no cloud.

Jonathan Sharp turned one-on-ones with his boss into a searchable knowledge base with Granola (13 upvotes), and describes asking it "how would my boss respond" as "scary good." For agencies, that is account memory: a searchable record of every client conversation, so no commitment made on a call ever disappears. Jon T's social-video research workflow (12 upvotes) pulls transcripts and key frames from useful Reels and TikTok clips into a structured Obsidian note with one recommended next action — which is exactly how you turn competitor content into a research pipeline, a point we will come back to in the steal-this list.

Sales and agency operations: no enquiry dies

The Editor's Pick on the hub is Michael Ebner's ChatGPT Work recruiter and dashboard (107 upvotes, featured): scheduled job-board searches, scoring, a daily email with a tailored resume, a Friday roundup, and an opportunity dashboard. Flip the domain from job search to inbound sales and you have a lead-qualification engine: scheduled scoring of every new enquiry, a daily brief, and a dashboard your team actually checks.

Alasless Automation's Fiverr and Upwork follow-up alerts (4 upvotes) run on Make.com + ClickUp + Slack, polling every four hours and flagging urgent priorities and pending follow-ups so no enquiry slips. For a freelancer or small agency, responsiveness is revenue — this is the no-slip net. And Deborah Dalle Mura Madison's scheduled short-term rental revenue briefings (1 upvote, but the highest-leverage pattern on the board) pair PriceLabs and Claude with Gmail, producing a 200-word numbers-first morning brief that Apps Script auto-sends. The workflow's own author notes the instruction prompt "took the most time to develop" — which is the tell that the prompt is the product.

Content, media, and coding: ship more, keep it consistent

Charles Clogston's reusable course-builder skill (28 upvotes) turns any topic and source material into a self-paced course: modules, learning goals, lesson text, verified videos, quizzes with explanations, packaged as a local web course. Agencies can reuse the same skill for every client topic — that is a lead magnet and a productized education offer in one.

Guillermo Gomez's cinematic AI video workflow (2 upvotes) solves the consistency problem clients actually hit: a nine-layer character lock, a character sheet, a 3×3 storyboard, and reference discipline that stops face and style drift between shots. If you sell content production, this is the exact workflow your clients will ask about. Alex Stanhope's parallel coding sessions (0 upvotes, new) run one agent session per repo across nine GitHub repos using markdown files as shared state — agents "never talk to each other," so the markdown is the coordination layer, and the VS Code board is the steering wheel. That is auditable, cheap, and scales dev output across client repos immediately.

The 4 workflows to steal today

Twelve examples is a lot. If you run an agency, start with these four. They are the lowest-effort, highest-client-value services on the board — each one maps directly to a recurring deliverable a client can see and price.

Effort is rated for a competent agency operator, not for a builder: "Low" means the workflow is mostly prompt + schedule + no-code glue. Client value is our rating of how visible the deliverable is to a paying client. All four are on the hub today, verified live, and all four generalize from the original personal use case to a client-facing service.

The 3 design rules that make these work

Strip the tools away and the best submissions share three design rules — and these are what you should copy even more than the workflows themselves.

1. Human-in-the-loop is designed in, not bolted on. Confirm before spend, review high-stakes content, sanity-check agent output. The top posts are explicit about where the human stays in the loop — and that is also what clients want to hear.
2. The prompt is the product. The workflow is roughly 80% a well-specified prompt and 20% glue. The STR briefings author says the instruction took the most time to develop. That is your margin: your prompts, refined on real client data, are the moat.
3. Email is the connective tissue. Receipts, job alerts, morning briefings, archive outreach — the highest-signal workflows move through Gmail in and email out, because email is the interface non-technical users already trust. Design your deliverables around it.

If you're hiring an agency, ask for these exact workflows

The other side of this list is just as important. If you are a small business owner reading about AI workflows and wondering whether the agency you are about to hire actually knows what it is doing — ask for these exact workflows. Ask to see their scheduled reporting briefing. Ask how meeting notes become action items with owners and due dates. Ask what happens when an inbound enquiry arrives on a Friday night. Ask how they turn competitor videos into research. The workflows on this page cost a few cents a month to run; any agency claiming AI expertise should be able to show you working versions, not a pitch deck.

Frequently asked questions

Sources

• Rowan Cheung signal post (Aug 5, 2026): x.com/rowancheung/status/2085028564559393220
• Rowan Cheung launch post (Aug 2, 2026): x.com/rowancheung/status/2083971684558848500
• Community AI Workflow Hub: app.therundown.ai/community
• All 12 workflow posts cited in the table above, each verified live HTTP 200 on 2026-08-05.