An AI alternative to IFTTT: rules in sentences, not keyword triggers

IFTTT's whole model fits in its name: if this, then that. It is a clever idea and it still works for wiring a doorbell to a phone. But when people look for an AI alternative to IFTTT today, they usually mean something specific. They want the "if this" part to be smart. Not "if a feed item contains the word", but "if something happened that I would care about". That shift, from keyword triggers to rules a language model can evaluate, is the interesting part, and it shows up most clearly in monitoring.

What a trigger used to mean

Take IFTTT's RSS Feed service. It offers two triggers. "New feed item" fires on every post. "New feed item matches" fires when a post contains a keyword or simple phrase. On the free plan the feed is polled once an hour; on Pro and Pro+, every five minutes.

That is a string match. It cannot tell the difference between a company announcing layoffs and a columnist who mentions layoffs in a list of 2026 trends. It also cannot fire at all on a page that has no feed. So the human ends up doing the real filtering, reading each forwarded item and deciding whether it matters.

IFTTT has added AI to its top tier: Pro+, at $8.99 a month billed yearly, lists "AI services" alongside queries and filters. But the structure is still trigger first. Something upstream has to produce an event before any intelligence gets applied.

What changes when the rule is a sentence

An AI-first monitor turns that order around. The rule is written in plain English, and a model reads each new item against it.

AyeWatch is a clear example of the pattern. A monitor can be:

• an Internet topic, described in a sentence, checked across news sites, blogs, forums, government pages and academic publications
• a list of URLs, where the model decides whether a change to the page content is meaningful
• a social source, such as a subreddit, an X search, a YouTube channel or LinkedIn company posts, with a plain-English filter on top

When an item matches, the alert is a short written summary with links to the sources, not the raw item. A daily digest can collect the day's matches into one dated briefing.

The practical effect is that the expensive step, a person reading and discarding noise, moves to the model. A rule like "tell me when a city council in our region approves a new data center" does not need a feed, an exclusion list, or a downstream filter.

What this costs, and what it does not do

AyeWatch has a Free Preview with three lifetime monitoring runs across up to three topics and no card; the runs do not renew. Pro is $9 a month with hourly checks, Pro+ is $19 with ASAP mode, and Max and Ultra sit at $39 and $99. Usage is metered in monitoring credits: most checks use one, some social sources use more, and the estimated daily credits are shown when you choose a schedule. Auto mode on paid plans speeds checks up when a topic is busy and slows them when it is quiet, which is a sensible use of a model's judgment in its own right.

It is not a general automation tool. It does not run smart home devices or move files between consumer apps, and IFTTT remains cheaper and better for that. Instead it exposes its output for other systems: HMAC-signed webhooks, a REST API and an MCP server on paid plans, so an alert can kick off a Zap, an IFTTT applet or your own code.

The agent angle

The MCP server is worth a note for anyone following AI agents. With an API key, an assistant connected over the Model Context Protocol can create a monitor, change what it tracks, or pause it. A user can say "watch the release notes at this URL and tell me when a new version ships", and the agent sets it up. That makes monitoring one more tool an agent can call, rather than a dashboard a person has to configure.

How this compares with the other options

The older approaches are precise and predictable, and for some jobs that is what you want. Selector rules are hard to beat for a single price field.

Where it is heading

The if-this-then-that idea is not going away; it is getting a better "if". For alerts, the useful AI alternative to IFTTT is the one where the condition itself is understood. The AyeWatch comparison with IFTTT sets out the difference in a short table for anyone deciding which side of that line a job sits on.