Brands I back / AgentMail
AgentMail
agentmail.to ↗Email infrastructure for AI agents: create an inbox by API, send and receive, and let an agent act on structured messages.
AgentMail is an email API built for AI agents. An inbox is created with one API call, sending and receiving happen over REST, and every message arrives as structured data: threads, attachments, webhooks included. There is no IMAP scraping and no borrowed Gmail account; an agent gets what a human employee gets on day one, an address of its own.
The practical consequence is that email becomes a programmable surface. An agent can hold its own address, read what lands there as JSON, reply in thread, and trigger on webhooks instead of polling. Deliverability, parsing and threading are the provider's job; the application only handles logic.
The design encourages a clean division of responsibility: the provider owns delivery, parsing and threading, while the subscriber list, the opt-in logic and the data stay in the application, behind a thin adapter. Changing providers then means rewriting one file, not migrating a system. That portability is what earns it a place here.
Save months.
Products, marketing, tools: I test a lot, sum up what works, you avoid my mistakes.
An OpenClaw alternative is worth switching to only if it keeps the part you wanted, an agent that acts while you are asleep, and drops the part that should worry you, one always-on assistant holding every credential you own. Three shapes are on offer: another general assistant, a self-hosted workflow runner, or a narrow agent with a scheduled trigger and a single exit door.
Base44 and Lovable both turn a prompt into a working app on day one, so day one is not where the choice gets made. It gets made by who owns the backend: Base44 keeps your database and auth inside its own platform, while Lovable writes a React codebase you own and connects it to a Supabase project you control.
LinkedIn's Post Inspector, at linkedin.com/post-inspector, reads a URL the way LinkedIn's crawler does and clears the preview LinkedIn had stored for it, so your next share picks up the tags currently on the page. That is the whole job: it refreshes, it does not validate. When the preview is still wrong after you run it, the cache was never the problem. The image you shipped is.
Follow up on a cold email only when you can add one fact that did not exist when you sent the first one. Not a bump, not a polite reminder that you are still waiting: something the reader did not know before. Two follow-ups written that way beat six written in advance, because a sequence drafted before you send can only ever report that time has passed.
ReadyToPost
Your AI community manager: it writes your posts, answers comments and DMs, tracks results. You approve, that's all.
Mira Ceti
What if you truly felt at home? An interior-architecture studio that rethinks apartments, with AI as backup.