Delegating Daily Monitoring to an AI Agent: 3 Real-World Workflow Automations

Collecting Scattered User Feedback

The author manages multiple products: independent apps collecting feedback via Jindata forms, and the open-source AI gateway OctaFuse Gateway using GitHub Issues. Previously, checking each platform separately was time-consuming. With Doubao Work Agent's Jindata and GitHub connectors, the author authorizes access once and then asks the Agent to query new entries. For example, the Agent summarizes all new Jindata form submissions from the last two days, counting entries, listing specific feedback, and providing an overall conclusion. It also performs initial triage: categorizing items as bug reports or feature requests, identifying common themes, and suggesting next actions. The same workflow applies to GitHub Issues for OctaFuse Gateway. Combined with a scheduled task (created via natural language, no code), the Agent runs daily and delivers a digest, eliminating the need for manual巡检.

Generating Weekly Reports Quickly

The author's coding work lives on GitHub: Issues track context and progress, commits capture changes. GitHub becomes a structured work log. After connecting the GitHub connector, the Agent reads repository activity over a given period and organizes it by project into sections: releases, core features, engineering quality, website updates, and next-week plans. The first run requires a few iterations with the Agent to align on which repos to include, whether to group by project or work type, and how much technical detail to retain. Once the format is stable, the author saves it as a custom Skill. Thereafter, a single prompt "write this week's report" triggers the same structured execution. The Skill locks data scope, processing steps, and output structure, though the author still reviews the output. This approach relies on well-written Issues and commit messages to produce accurate summaries.

Monitoring Model Pricing

Building AI agents and an AI gateway requires tracking model pricing across vendors to optimize routing. Some vendors offer APIs; others only have web pages. Writing and maintaining scrapers for each site is fragile due to anti-bot measures and layout changes. Doubao Work Agent can parse and interact with web pages directly. The author points the Agent at a vendor page (e.g., ZenMux), and it reads the current discounted models, extracting model name, provider, discount, and price. The Agent simulates a user opening the page, then uses the LLM to analyze the rendered content rather than relying on fixed selectors, making it resilient to page changes. The result is a structured table. This task can also be scheduled for continuous monitoring.

Summary and Outlook

All three automations address the same pattern: offloading repetitive, multi-source information gathering to an Agent that continuously巡检, aggregates changes, and delivers actionable digests. Connectors solve data access, scheduled tasks solve timing, and Skills codify the refined processing logic. The current setup already eliminates much "remember to check" cognitive load. The author envisions extending the pricing monitor: when a price change is detected, a Skill could call OctaFuse Gateway's admin API to fetch current routing rules and generate adjustment proposals, awaiting human confirmation before applying — forming a "detect → propose → confirm → execute" loop. Future multi-device sync and cloud compute would allow reviewing and approving tasks from phone, web, or PC without a local machine running continuously. The Agent handles monitoring and workflow progression; the human handles judgment.