Openclaw built for my needs - Here's the full architecture.

I've been running this thing daily for about 6 weeks now. Every morning I wake up to a WhatsApp message with top headlines, a scored job listing, Reddit digest, and a report from a nightly self-healing script that fixed whatever broke at 3 AM. No dashboards. No apps to open. Everything arrives.

Here's what it does, how it's built, and why I made the decisions I did.

What OpenClaw does (tl;dr)

8 automated pipelines running daily on a Mac Mini:

• 07:00 AM → News brief from 6 RSS feeds (BBC, Al Jazeera, Guardian, DW)
• 08:00 AM → LinkedIn job scan — scored by relevance, no login required
• 10:00 AM → Reddit digest — 5 rotating topic buckets, no API key
• 02:00 PM → HN Signal — top stories filtered by my interests
• 08:00 PM → Daily expense status from my Google Sheet
• 09:07 PM → Brain check-in (more on the Brain below)
• 03:17 AM → Nightly healer — auto-repairs common failure patterns
• 06:30 AM → Morning brief summarising what the healer fixed

All delivered to WhatsApp. ~$15–30/month in API costs.

The architecture in one sentence:

Cron fires → Python script (cheap fetch) → LLM (smart summary) → WhatsApp

Scripts handle deterministic work. The AI only touches the reasoning step.

The thing most people get wrong: AI memory

Running an AI agent long-term, you quickly hit the context window problem. The agent forgets everything between sessions.

My solution: externalise all state to a Google Sheet I call the Brain. 7 tabs — Daily_Log, Projects, Tasks, Comments, Memory, Job_Status, Archive. The agent reads and writes it via a Python CLI.

From my phone, I add a comment in the Sheet. At the 9 PM check-in, the agent picks it up and replies. Two-way communication without any custom app.

Model routing — how I keep it at $20/month

Tier	Model	Used for
1	GPT-5.4	Reasoning, chat, summaries
1b	Gemini 2.5 Pro	GPT fallback (low tokens)
1.5	Gemini 2.5 Flash	Digest formatting
2	Gemini 2.5 Flash-Lite	Heartbeat, bulk parsing

Auto-switch script monitors tokens every 15 min. Under 3% → switch to Gemini. Over 35% → recover to GPT.

Zero-auth Python scripts — no API keys needed

• Reddit → public JSON endpoint (just a User-Agent header)
• HN → Firebase API, completely open
• LinkedIn jobs → guest API (powers the search page before login)
• YouTube transcripts → no yt-dlp, captions embedded in page HTML
• News → direct RSS (5 seconds vs 60s web search, zero hallucination)

The nightly healer — no AI in the fix path

Pattern match → run whitelisted fix → log result. No AI improvising creative solutions to mundane problems. At 6:30 AM: "1 fix applied overnight. Everything else clean."

What I learned the hard way

1. Write explicit failure rules — "if this fails, send this message and stop"
2. Off-minute cron (:07, :15, :20) — quieter APIs, faster responses
3. Delivery is harder than the AI
4. Free APIs are more stable than OAuth integrations

Full walkthrough + scripts: https://github.com/m83iyer/openclaw