Now available

Software that works while you sleep.

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

agent-crondaily-revenue-report
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."

Daily · 8 AMSnowflakeSnowflakeEmail
Schedule0 8 * * * (Every day at 8:00 AM)
Last runToday, 8:00 AM — completed in 47s
Next runTomorrow, 8:00 AM
12a3a6a9a12p3p6p9p
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
completed
47s$0.08

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."

SnowflakeSnowflakeEmailDaily · 8 AM
02

The agent writes real code

jobs/daily-report.ts
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 AMReport sent(42s)
Tue 8:00 AMReport sent(38s)
Wed 8:00 AMReport sent(51s)
Thu 8:00 AMAnalyzing 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
IntegrationsSnowflakeSnowflakeEmail
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
IntegrationsStripeStripeSlackSlack
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
IntegrationsPostgreSQLPostgreSQLSlackSlack

You've outgrown drag-and-drop.

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

Zapier, Make, n8n
  • Visual drag-and-drop with limited logic
  • Pre-built connectors — can't do anything custom
  • Stateless — every run starts from scratch
  • No AI reasoning within the workflow
  • Complex pricing based on tasks and executions
  • Breaks when APIs change
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?

Works with the tools you already use

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

SnowflakeSnowflakeStripeStripeSlackSlackPostgreSQLPostgreSQLBigQueryBigQueryGitHubGitHubHubSpotHubSpotAirtableAirtableNotionNotion

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