AI automation that works while you sleep.

Schedule an AI agent to wake up, do real work, and report back — all in plain English.

Get started See how it works

Your Prompt

"Every morning at 8 AM, pull yesterday's revenue from Snowflake, compare it to last week, and email the exec team a report."

Schedule

0 8 * * * (Every day at 8:00 AM)

Last run

Today, 8:00 AM — completed in 47s

Next run

Tomorrow, 8:00 AM

Run log

├─Connected to Snowflake
├─Queried revenue data (3 tables, 12,847 rows)
├─Generated analysis — MRR up 12%, churn down 0.3%
├─Built report with 4 charts
└─Emailed report to team@company.com

How it works

01

Describe the job in plain English

"Every morning at 8 AM, pull yesterday's revenue from Snowflake, compare it to last week, and email the exec team."

02

The agent writes real code

export const cron = "0 8 * * *";

async function generateRevenueReport() {
    const data = await snowflake.query(
        "SELECT date, revenue FROM daily_metrics"
    );
    const summary = await ai.analyze(
        data, { compare: "last_week" }
    );
    await email.send(summary);
}

03

Runs on autopilot with full context

Live

Mon 8:00 AM Report sent (42s)

Tue 8:00 AM Report sent (38s)

Wed 8:00 AM Report sent (51s)

Thu 8:00 AM Analyzing variance…

What will your agent do while you sleep?

Daily Reports

Revenue report, every morning, zero effort

Every morning at 8 AM, pull yesterday's revenue, signups, and churn data from Snowflake. Compare it to last week. Generate a report with charts and email it to the exec team.

// What the agent builds:

cron: "0 8 * * *"

→ connect to Snowflake → query revenue, signups, churn (3 tables) → compare to 7-day rolling average → generate 4 charts (recharts) → compose email with key highlights → send to team@company.com

Integrations

Webhooks

Stripe events, formatted and delivered to Slack

When a payment fails in Stripe, post a formatted alert to our #billing channel in Slack. Include the customer name, amount, failure reason, and a direct link to the Stripe dashboard.

What the agent builds:

trigger: Stripe webhook (charge.failed)

→ parse event payload → fetch customer details from Stripe API → format Slack Block Kit message → include: name, amount, reason, dashboard link → post to #billing channel

Monitoring

Anomaly detection that actually understands your data

Every hour, check our error rate and p99 latency in Postgres. Compare to the last 7 days. If anything looks anomalous, message me in Slack with context about what changed and what might be causing it.

What the agent builds:

cron: "0 * * * *"

→ query error_rate, p99_latency from Postgres → compute 7-day rolling baseline → AI analysis: is this anomalous? → if yes → post to Slack with:

  • what changed
  • magnitude of deviation
  • possible causes → if no → log "all clear", sleep

You've outgrown drag-and-drop.

Traditional automation tools were built for simple if-this-then-that workflows. You need something that can think.

camelAI

  • Describe what you want in plain English
  • Agent writes real code — unlimited flexibility
  • Persistent computer — full context across runs
  • AI-powered decision making at every step
  • Flat pricing — run as many automations as you want
  • Agent adapts when things change

What will you automate?

Examples

  • Daily revenue report
  • Webhook to Slack alerts
  • Hourly anomaly detection
  • Weekly customer digest

Works with the tools you already use

Connect databases, SaaS platforms, and communication tools. 50+ integrations available.

Frequently asked questions

How does camelAI compare to Zapier for automating workflows?

Can I set up cron jobs using plain English?

What integrations does camelAI support for automation?

Does the automation agent remember context between runs?

Can camelAI automations do more than just move data between apps?

Put your workflows on autopilot.

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