Stop chatting with AI.
Let it do the work.
ChatGPT answers questions. AM executes tasks — email, calendar, code, projects — end-to-end, autonomously, without you staying in the loop.
Three Options, Honestly Explained
Cloud AI, local LLMs, or AM. Here's the truth.
ChatGPT · Claude · Gemini
Easy to start. Powerful for Q&A, drafting, and research. But they answer questions — they don't execute tasks. You stay in the loop for every step.
Ollama · LM Studio · GPT4All
Free software, full privacy. Data never leaves your machine. But you need serious hardware to run capable models — and you're still just chatting.
Not a chat assistant. A digital worker.
AM connects to your tools, executes tasks end-to-end, and runs 24/7 without you staying in the loop. You review outcomes — not conversations.
Side-by-side
AM vs ChatGPT vs Claude vs Local LLMs
"Partial" = available on enterprise/team tiers or with third-party plugins. Claude consumer tier does not use data for training.
Real Numbers
What you're actually paying for AI
Cloud AI (per team)
per user × every user
10-person team = $200/month = $2,400/year. For a Q&A tool that still requires a human to read every response and take every action.
Local LLMs
*after hardware investment
Software is free. But capable models need real GPU muscle — and you're still just chatting, not executing.
AM
not a chat subscription
The right comparison isn't AM vs $20/month. It's AM vs a part-time contractor. AM handles tasks that would otherwise require human hours — and it runs 24/7.
Different category
Chat assistants answer. AM executes.
Every chat assistant — ChatGPT, Claude, Gemini — is fundamentally a question-answering machine. AM is built on a different premise: work happens without you in the loop.
Chat assistants
AM
FAQ
Questions people ask before switching.
How is AM different from ChatGPT?
ChatGPT is a chat assistant — you ask, it answers, you act. AM is an autonomous digital worker — you assign work, AM executes it, you review the outcome. AM connects to your tools (email, calendar, GitHub, Jira, Slack) and runs tasks end-to-end without staying in the loop. It's a fundamentally different category.
Should I use cloud AI or run a local LLM?
Cloud AI (ChatGPT, Claude, Gemini) is easy to start but costs $20+/user/month with privacy trade-offs on consumer tiers. Local LLMs (Ollama, LM Studio) are free software with full privacy, but require $1,500–$3,500 in GPU hardware plus electricity. Both options are still chat interfaces — execution remains your job. AM is a third path: a managed autonomous worker, no hardware required.
Is my data private with AM?
AM never uses your data to train models. Unlike ChatGPT's consumer tier — where conversations may be used for training by default — AM treats your data as yours. For teams with strict compliance requirements, AM can be configured for private deployment within your own infrastructure.
How much does AM cost compared to ChatGPT?
ChatGPT Plus is $20/user/month — $240/year per person for a tool that answers questions but can't execute tasks. AM is priced as a digital worker, not a chat subscription. The right comparison is AM vs a part-time contractor's hourly rate, not AM vs $20/month SaaS. Early access is free — join the list to see team pricing.
Early Access
Ready for AI that actually does the work?
Get early access to AM.
Free and open source. Install in one command on Mac, Windows, or Linux.
curl -fsSL https://raw.githubusercontent.com/augmentedmike/am-agi/main/install.sh | bash