# WeChat automation with Jev and DeepSeek

It reads the app node tree through Android accessibility services and falls back to screenshots when the tree is not enough, with Jev deciding the next step.

Grade: X — Not a typed-decision job: needs written output, plain rules or lookups would do it, or needs raw image or audio. Also marks ideas that must not be built.. Score: 3.89.

Vertical: Software & tech.

Function: Agents & dev.

Status: Seen in the wild.

Volume: routine.

Value: minor.

Risk: moderate.

Evidence: described plan.

Flags: check-fit.

- [Source](https://madewithjev.com/builds/wechat-automation-jev-deepseek)
- [Vertical](/verticals/saas_tech/)
- [Function](/functions/agents_dev/)
- [Prompt injection detection guardrail](/use-cases/prompt-injection-detection-guardrail/)
- [LLM output safety classification](/use-cases/llm-output-safety-classification/)
- [LLM cost-quality routing with RouteLLM](/use-cases/llm-cost-quality-routing-with-routellm/)
- [Claude Code hooks pre-tool-use validation](/use-cases/claude-code-hooks-pre-tool-use-validation/)
- [Log sensitive-data leak](/use-cases/log-sensitive-data-leak/)
- [Prompt injection scanner](/use-cases/prompt-injection-scanner/)