The argument in one line.
Clicky removes the learning-curve overhead that consumes most computer time by letting you direct an AI agent to navigate, click, and execute tasks across your entire desktop while you work on something else.
Read if. Skip if.
- A Mac user who does repetitive computer tasks — video editing in Descript, organizing files, online shopping, filling out spreadsheets — and wants an AI agent to handle them in the background.
- A non-technical person who finds tools like Claude Code too complex and wants an AI that can navigate apps and click around the computer without any setup or prompting overhead.
- A solo creator or freelancer who wants to run multiple computer tasks in parallel without context-switching — let Clicky handle one thing while you do another.
- A developer or tinkerer curious about OpenClicky who wants to self-host a computer-use agent with their own API keys and custom-trained behavior for a specific industry.
- You are on Windows or Linux — Clicky is Mac-only and the tutorial does not cover any alternatives for other operating systems.
- You need reliable automation for high-stakes work; the video shows several tasks that are hit-or-miss (Google Workspace integration acknowledged as not fully fleshed out) and the tool is early-stage.
The full version, fast.
Clicky is a Mac menu-bar agent that watches your screen, clicks for you, and runs tasks in parallel while you keep working, collapsing the learning-curve overhead that eats most computer time. You stay the director: hold command-option, speak or type a goal, and Clicky handles the navigation, app-switching, and execution across tools like Claude, Descript, Amazon, Google Drive, and your local files. Setup is a one-time pass through microphone, accessibility, and screen-recording permissions, after which agents stack in a sidebar so you can dispatch several jobs at once. Practical wins include editing video false starts, scraping receipts into a dashboard, filling carts, and scaffolding small apps. For full control, OpenClicky lets you self-host with your own keys or local models.
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01 · Cold open + promise stack
Title hook restated, four bait moves, three-level agenda. Firehose + Office Space memes anchor the overwhelm framing.

02 · Why this matters
Old-way vs new-way wedge. Cloud Code has depth and overhead; for everyday computer tasks the learning barrier itself is the bottleneck. Clicky makes you the director.

03 · Set up Clicky
clicky.so download, drag-to-Applications, mic permission, accessibility grant (drag the icon in + fingerprint), screen recording permission. Mac-only, lives in menu bar.

04 · Use case: control Claude
Hold command+option to activate. Asks Clicky where connectors and skills live in the Claude app; Clicky narrates + auto-navigates via cursor takeover.

05 · Use case: video editing in Descript
Drops an ad-read MP4 from desktop into Descript and asks Clicky to remove false starts, double-takes, pauses. Underlord assistant executes; final cut comes back cleaned.

06 · Parallel agents
Multiple Clicky tasks pinned to the side rail; he can dispatch and dismiss them like a queue.
07 · Competitor research PDF
Asks Clicky to research competitors for his BookedinAI site and produce a PDF. Comes back with a voice-AI competitor list.
08 · Background computer use
Opens Amazon, asks for a steak recipe, has Clicky add the ingredients to his cart while he does other work. Red ping when done.
09 · Local files → expense dashboard
Receipts on desktop → Clicky organizes into folder, scrapes amounts, spins up a live dashboard app in the browser. Also pushes data to a Google Sheets master file via Google Workspace connector.
10 · Build an app live
"Build me a meeting recorder that transcribes and saves locally." Clicky scaffolds a working web app on screen — start recording, save, transcribe.
11 · Track activity across screens
"What do you know about me?" Clicky narrates which Heptabase doc is open on which monitor, that Spotify deep-focus is playing, that he was chatting with Fariza. "This person is exposing my whole life."
12 · OpenClicky + CTA
GitHub repo OpenClicky lets you bring your own API keys or local model and customize for any industry. Pure next-video CTA at the end.
Lines worth screenshotting.
- Clicky is a Mac menu-bar agent that sees your screen, clicks around your computer, and runs tasks in the background while you work on something else.
- Most computer time is spent figuring out how to do things, not actually doing them — Clicky removes the learning-curve overhead that precedes every new tool.
- Holding command + option activates Clicky from anywhere on your screen — no app switching, no chat interface to open.
- Clicky can navigate Claude's interface, click buttons, and guide you through unfamiliar settings by responding to plain English questions about what you see on screen.
- Descript video editing via Clicky means you describe the cuts you want in natural language and Clicky executes them in the editor without you touching the timeline.
- For tasks like organizing receipts into a spending dashboard, Clicky handles the locate-open-extract-visualize pipeline that would otherwise require four separate tool interactions.
- OpenClicky (the open-source version) lets you self-host and customize Clicky's behavior without being locked into the commercial product's capabilities.
- The barrier that stops most people from applying AI is not the concepts — it is the setup overhead before the tool can do anything useful, which Clicky eliminates.
- Clicky's screen awareness means it can see dynamic page states that APIs cannot reach — rendered content, modal dialogs, real-time UI updates.
- For everyday computer tasks (editing videos, filling forms, shopping, organizing files), a screen-aware agent eliminates the need to understand MCP, connectors, or skill architecture.
- The role shift Clicky creates is from operator to director — you set the goal and the constraint, the agent does the navigation.
- Clicky is Mac-only at time of release — Windows users need an alternative screen-aware agent to replicate this workflow.
Steal the three-level demo ladder.
Every JoeFlow / Mod Producer launch video should have a Setup, Use Cases, Build-Your-Own ladder — and the use cases should be obnoxiously specific.
- Open with proof-not-promise: show the tool already doing the work in a screen-recording while the title hook plays. Don't talk about it first.
- Make the agenda visible at ~0:43. Three levels with numbered cards. It sets retention anchors for the whole video.
- Use the Old-Way / New-Way wedge before the demos. Six-step parody chain of 'how you'd normally do this' is universally relatable.
- Pick weirdly specific use cases (steak recipe → Amazon cart, receipts → live dashboard). Specificity reads as real workflow, not staged.
- Be honest when something's undercooked — the 14:30 'this feature is hit or miss' moment is a credibility move, not a flaw.
- End on a next-video bridge, not a product pitch. Earn the next click; the description carries the paid asks.
- Build a JoeFlow tutorial using this exact spine: 'Setup (download + Mic + signing in), Use Cases (morning batch, dictation, asset library), Build Your Own (custom Routines).' Same shape, your product.
Terms worth knowing.
- Clicky (clicky.so)
- A Mac menu-bar AI agent that can see your screen and autonomously click, type, and navigate applications on your behalf — acting as a background computer operator while you direct it with natural language goals.
- Computer use (AI)
- An AI capability that allows a model to perceive a computer screen visually and interact with it — moving the cursor, clicking buttons, typing text — as a human user would, enabling full desktop automation.
- OpenClicky
- The open-source, self-hostable version of Clicky that allows developers to run their own customized computer-use agent locally, rather than using the hosted clicky.so service.
- Menu-bar agent
- A macOS application that runs persistently from the menu bar (the thin strip at the top of the screen) and can be triggered at any time, without needing a dedicated full-screen window.
- MCP (Model Context Protocol)
- An open standard that allows AI models to connect to external tools, APIs, and data sources through a plugin-like interface, extending their capabilities beyond text generation.
- Screen permissions (macOS)
- System-level security settings on macOS that must be granted explicitly before an app is allowed to capture or interact with the screen — required for any AI computer-use tool.
- Learning-curve overhead
- The time spent figuring out how to use a tool before being able to do the actual work it enables — identified here as the primary source of wasted computer time that AI computer-use agents eliminate.
- Descript
- A video and podcast editing application that lets users edit media by editing the transcript text, cutting words from the document to remove the corresponding audio and video.
Things they pointed at.
Lines you could clip.
“I've actually been using this every day for about a week now, and honestly, I can't go back to using my computer the old way.”
“Most of our time really goes — not actually doing stuff, just figuring out how to do stuff.”
“Clicky makes your role the director. You bring it priorities, goals, what's important, and Clicky becomes a smart buddy that goes and does the work for you.”
“The hardest part has always been the barrier to entry. The moment I show people Clicky, their lives get instantly easier because for the first time that learning barrier actually disappears.”
“Hey, this person's exposing my whole life.”
Word for word.
Don't just watch it. Burn it in.
See every word as it's spoken — crank it to 2× and still catch all of it. The same dual-channel trick behind Amazon's Kindle + Audible.
The bait, then the rug-pull.
Samin opens by restating the title verbatim while a screen recording shows Clicky already editing a Descript timeline behind him — proof beats promise. Then he stacks four bait moves in 60 seconds: a personal time-stake ("a week, can''t go back"), a FOMO line ("grab it while it''s free"), an explicit three-level agenda, and an inclusivity guarantee for the zero-technical crowd.
Named ideas worth stealing.
Three-Level Tutorial Structure
- Setup
- Use cases
- Build your own / customize
Classic explainer ladder: get them past install pain, then payoff demos, then advanced/open-source unlock for the power users.
Director Frame
Reframes AI tool use from operator-of-software to director-of-outcomes. 'You bring it priorities, goals, what's important — and it goes and does the work.'
Old-Way / New-Way Wedge
- Open YouTube
- Watch a tutorial
- Download an app
- Mess around for an hour
- Get frustrated
- Finally start
Six-step parody of how you actually try to do a new task on a computer. Lands the thesis that 'figuring out how to do stuff' eats the day.
How they asked for the click.
“If you wanna learn more about that and how you can actually use open source technology, check out this video where I kind of dive into one of the best open source projects ever.”
Soft. No product pitch in-video — all paid CTAs (Skool community, free bootcamp) are in the description only. Smart for a product-demo video: trust first, monetize on the next click.










































































