Automating Solo SaaS Customer Support with Claude Code Schedule
The Problem: CS Is a Dev-Time Bottleneck
Running a solo SaaS means every support ticket pulls you away from building. But most tickets follow predictable patterns:
- "I can't log in"
- "My data disappeared"
- "Does this feature exist?"
Answering each one manually is waste. The answer is often already in the FAQ.
The Solution: Claude Code Schedule + cs-check
Claude Code CLI's Schedule feature runs a cs-check task every hour automatically:
# .claude/schedule.yaml
tasks:
- name: cs-check
cron: "0 * * * *"
prompt: |
Task: cs-check
Fetch unreplied support tickets. Route to FAQ reply, bug fix, or escalation.
3-Case Routing Logic
Step 1: Fetch Open Tickets
// get-support-tickets Edge Function
const tickets = await supabase
.from('support_tickets')
.select('id, title, body, status')
.eq('status', 'open')
.is('replied_at', null);
Step 2: Classify and Act
Case A: FAQ match (similarity > 0.7) → auto-reply
Case B: Bug keywords detected → read source, fix if simple, commit
Case C: Billing / refund / complex → escalate, log for human
async function routeTicket(ticket: Ticket, faq: FAQ[]) {
// Case A
const match = faq.find(f => similarity(ticket.title, f.question) > 0.7);
if (match) return replyWithFaq(ticket.id, match.answer);
// Case B
const bugWords = ['error', 'broken', 'not working', "can't"];
if (bugWords.some(k => ticket.body.toLowerCase().includes(k))) {
return { action: 'investigate', ticket };
}
// Case C
return { action: 'escalate', ticket };
}
Step 3: Auto-Fix for Bug Cases
When Claude identifies a fixable bug, it patches the code and commits:
# After applying the fix:
flutter analyze lib/ # confirm 0 errors
git add -p
git commit -m "fix: null check in home dashboard loader"
git push origin main
# Reply: "Fixed — deploy takes a few minutes"
Audit Trail in cs-notes
Every session produces a log at docs/cs-notes/YYYY-MM-DD-HH.md:
# CS Check 2026-04-19 10:00
## Replied (FAQ)
- "Can't reset password" → emailed password reset flow
## Fixed (Bug)
- "Home screen stuck loading" → null check fix, commit: abc1234
## Escalated
- "I want a refund" → requires human response
Infrastructure Health Check as a Side Effect
While checking tickets, also ping live endpoints:
const urls = [
'https://yourproject.supabase.co/functions/v1/get-home-dashboard',
'https://your-app.web.app/',
];
for (const url of urls) {
const res = await fetch(url, { signal: AbortSignal.timeout(10000) });
if (!res.ok || /* timeout */) {
appendToNote(`## Infrastructure Alert\n- ${url}: ${res.status}`);
}
}
Downtime detection with zero extra tooling.
Results
| Metric | Manual | Automated |
|---|---|---|
| Response time | 24h avg | < 1h |
| Human intervention rate | 100% | ~20% |
| Bug → fix latency | days | minutes |
| Mental overhead | High | Low |
For solo builders, automating CS might return more dev-hours per week than any other investment.
Building in public: https://my-web-app-b67f4.web.app/
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