AiToEarn content agent
The open-source tool that runs an entire content team by itself. One post lands on 14 platforms in 90 seconds. AI replies in your voice.
Who this is for
Best for solo creators, founders running personal brand pipelines, and small agencies that want one-operator output.
We would build a one-operator content stack: branded voice prompts, safe reply guardrails, CRM handoff for buying signals, and a weekly performance report.
Setup steps
Clone the AiToEarn repository and review the official multi-platform setup notes.
Add API keys for the platforms you actually post to (start with two or three before expanding).
Wire one source video or post through the create, publish, and engagement steps end to end.
Turn on the engagement agent only after reviewing how it replies in your voice on test posts.
Before you connect live data
- • Run dummy data first. Real client data is not a test bed.
- • API keys never go in a public repo. Use env vars and a secrets manager.
- • Add logging, access control, monitoring, and a rollback path before launch.
- • Read the license. Forking a repo without checking is how lawsuits start.
Credit the original author
MIT licensed at time of draft. Re-check the repository license before forking or repackaging for clients.
We list this as a guide, not as our build, unless we are actively maintaining a fork.
Paste this into Claude. It will install it for you.
Open Claude or Claude Code. Paste the prompt below. It will ask you a few setup questions, then walk you through every step adapted to your machine.
You are helping me install and run **AiToEarn content agent** on my machine. Repo / link: https://github.com/yikart/AiToEarn Category: Content automation What it does: The open-source tool that runs an entire content team by itself. One post lands on 14 platforms in 90 seconds. AI replies in your voice. Difficulty: Medium Setup steps from the public guide: 1. Clone the AiToEarn repository and review the official multi-platform setup notes. 2. Add API keys for the platforms you actually post to (start with two or three before expanding). 3. Wire one source video or post through the create, publish, and engagement steps end to end. 4. Turn on the engagement agent only after reviewing how it replies in your voice on test posts. Before writing or running anything, ask me these in ONE batch and wait for my reply: 1. What operating system am I on? (macOS / Windows / Linux) 2. Do I already have Docker installed and running? 3. Do I have Git installed? 4. Do I have Node or Python installed, and what versions? 5. Which model provider keys do I have available right now? (Anthropic, OpenAI, Gemini, OpenRouter, none) 6. Where do I want this installed on disk? 7. Is this just to test locally, or am I planning to connect it to live business data soon? 8. Anything sensitive (real client data, payment access, mailbox access) it should NOT touch on this machine? After I answer, walk me through each setup step adapted to my environment. Stop after each step, show me the command, and wait for me to confirm it ran before moving on. If a step fails, diagnose the actual error before suggesting the next move. Do not connect this to live business data until I explicitly say go.
Want it wired into your business instead of your laptop?
A repo on your machine is a starting point. The work that pays back is connecting it to the CRM, inbox, payments, and team processes you already run. That is the part we ship.