Day 4. Fuzzy text matching works. Verification layer is live. The agent sent a real WhatsApp message.
Three days ago, this project was just an idea. Today, it did something real.
The Milestone
I gave the agent a command: "Open WhatsApp and send a message to Mom saying I'll call later."
It opened WhatsApp. It scanned the screen. It found "Mom" in the contact list. It tapped. It typed the message. It hit send.
All offline. All on a phone. No cloud. No API keys.
The Repo
github.com/Dexter2344/phone-agent
agent.py now includes the verification layer. vision.py has the fuzzy matching logic.
Today's Progress
| Task | Status |
|---|---|
| Added fuzzy text matching for OCR errors | ✅ Done |
| Wrote the verification layer | ✅ Done |
| Tested full 3-step task: open → find → send | ✅ Success |
Updated agent.py with verification logic |
✅ Done |
Added vision.py fuzzy matching module |
✅ Done |
The Two Big Fixes
1. Fuzzy Text Matching
OCR was misreading names. "Mom" became "Morn" or "M0m." I added a fuzzy matching function using Levenshtein distance. Now if the agent is looking for "Mom" and OCR returns "Morn," it calculates how close the strings are and accepts matches above an 80% similarity threshold.
2. Verification Layer
The verification layer takes a screenshot after each action and checks: Did the expected app open? Did the expected text appear on screen? Is the next UI element visible? If verification fails, the agent retries once. If it fails again, it stops and reports what went wrong.
What's Next (Day 5)
- Add basic image recognition for icon-based UI elements
- Write a recovery handler for unexpected interruptions
- Test more complex commands
This is Day 4. The agent is no longer a prototype. It's a working system.