"Alert me when the Pro plan price changes"
Prompt active
AI prompts
AI Prompts
Describe what to watch in plain English. No XPath, no CSS selectors, no fragile rules that break when the page redesigns.
Natural-language rules
Survives redesigns
AI summary on every alert
Reusable prompt library
Plain English
No XPath, no selectors
5 min
Fastest cadence on top tiers
6 channels
Slack · Teams · Discord · Sheets · Webhook · Email
Prompt model
Conditions in language, not selectors
Write a prompt the way you would brief a teammate — "alert me when the Pro tier price drops" or "watch for new sub-processors." Monity uses the prompt to decide what counts as a real change and what is page churn.
How AI Prompts turns change into action
The page is built around the way B2B teams actually work: detect the signal, assess business impact, and route the accountable owner.
01
Detect
Write the prompt
Type the condition the way you would say it out loud. "Alert me if the Enterprise tier loses the SOC 2 badge."
02
Assess
Monity binds the rule
The prompt is mapped to the live page. Monity confirms it understands what to watch and what to ignore.
03
Route
Alerts arrive with context
When something changes, the alert includes the AI summary, the diff, the source URL, and an owner.
What AI Prompts adds to your monitoring stack
A polished workflow matters because the alert is only useful when a team can trust it, assign it, and revisit the evidence later.
Intent over markup
You describe what matters in business terms; Monity figures out how to detect it across the actual DOM.
Survives redesigns
Because the rule is semantic, a CSS class rename or layout shuffle no longer breaks the monitor.
AI summaries
Every change is explained in plain English so reviewers see the impact without diffing raw HTML.
Promptable noise filter
Tell the monitor what to ignore — cookie banners, hero rotations, A/B variants — and they stop firing.
Before and after AI Prompts
The goal is not more notifications. The goal is a cleaner operating surface for evidence, severity, ownership, and response.
Manual review and fragmented follow-up
- Selectors break every time the page is restyled
- Hours wasted maintaining XPath or CSS rules
- False positives every time the hero rotates
- Engineers needed to add a new monitor
Source-linked alerts with accountable owners
- AI Prompts running across priority sources
- Every alert keeps source, diff, severity, and owner together
- Teams respond from Slack, Teams, email, webhook, or Monity
- History stays clean for review, reporting, and audits
Use cases
Where B2B teams use AI Prompts
Start with the workflows where timing, source evidence, and routing have a measurable business impact.
Pricing intelligence
Watch competitor pricing pages with a sentence — "alert when any tier price changes" — instead of brittle scrapers.
Compliance signals
Track terms, DPAs, and sub-processor pages with a prompt that ignores layout edits and focuses on substantive changes.
Product positioning
Watch how a competitor describes a feature, then get alerted when the language shifts toward a new market.
FAQ
Questions about AI Prompts
Do I need to write prompts perfectly?
No. Start with plain language and refine the condition after reviewing the first matches.
Can Monity AI ignore small visual changes?
Yes. Conditions can focus on business changes and ignore layout, navigation and banner noise.
Can I combine AI with visual diffs?
Yes. AI summaries and visual diffs work together — reviewers get both context and evidence.
Where do alerts go?
Slack, Microsoft Teams, Discord, Google Sheets, webhook and email — native.
Ready when you are
Describe what to monitor. | Skip the XPath.
With the source evidence attached.
Write the rule in one sentence, hand it to Monity, and let the page redesign all it wants — the monitor still works.
- 7-day trial
- No credit card
- Slack, Teams, email, and webhooks