Set up
Add Anting to your AI’s settings, sign in, and your library is ready inside the assistant your team already uses, like Claude or ChatGPT.
Anting is your team’s library of proven AI skills. Connect it to your AI, like Claude or ChatGPT, then save what worked once and let every edit make the Ant sharper for next time.
or any AI assistant you already use
How it works
Add Anting to your AI’s settings, sign in, and your library is ready inside the assistant your team already uses, like Claude or ChatGPT.
Ask your AI to save and name a proven way of doing something. It becomes an Ant instantly, and you can attach the sources it should refer to, so it always has the right context on hand.
Every edit, load, and outcome teaches the Ant what worked. The more it’s used, the faster it reaches the perfect output, cutting long-term usage. Share it, fork it, or let the next version get proposed from real use.
The feedback loop
Most prompt libraries go stale the day you save them. Anting tracks how an Ant is loaded, what changed, whether the user accepted or edited the result, and turns that history into a proposed next version for review. Improvements are captured append-only, never overwritten.
Why teams choose Anting
Every Ant learns from real use. What worked is kept, what changed is tracked, and each version is sharper than the last, so your best work keeps getting better.
Share an Ant across your team or fork one to make your own. Great work stops living in one person’s chat history and becomes something everyone can build on.
The more an Ant is used, the faster it reaches the right output, and you can optimize it as it improves. Fewer retries and less back-and-forth mean each Ant costs less to run the longer you rely on it.
Team knowledge
Share an Ant with a team, or fork a version without touching the original.
Reference files travel with each step, so your AI has what it needs on hand.
Loads, outcomes, and corrections become new versions; nothing is silently changed.