Schedule a discovered course with one sentence using dots
dots proactively recommends → user confirms in natural language → auto-scheduling completes
- Who
- Users who want to reduce manual searching and scheduling time
- You get
- dots proactively found a relevant course and scheduled it with one sentence
- You need
- dots
Constraints
Requires OpenAI dots access; keep dots active to receive proactive recommendations; confirm with natural language, no additional setup needed.
What they did
User VraserX had an OpenAI dot named Jarvis enabled. The dot proactively found a professional development course relevant to the user, who then told it to "schedule it" and the dot completed the scheduling.
How it went
The author reported that the dot "just did" complete the scheduling, and expressed surprise at the context awareness. (author_report)
Worth knowing
The 'discovery' step was agent-initiated, not triggered by the user; the author did not specify what 'schedule' entailed (calendar entry, confirmation email, or enrollment); this site has not independently tested this workflow.
Steps
Enable dots and wait for proactive recommendations
Ensure your dots is enabled and active. The author named their dot Jarvis, and dots proactively found a professional development course relevant to them.
Confirm scheduling with natural language
When you receive a course recommendation, simply tell dots to schedule it in natural language, e.g., "schedule it for me." The author reported dots completed the scheduling immediately.
Prompt you can copy
Reference prompt · Editorial suggestion。Confirm the destination, input variables and output format before use.
This block is the prompt. Ads are never placed here.
No prompt needed — just follow the steps.
No prompt needed — just talk to dots directly.
Source
dot 主动发现相关培训课程,作者一句话让它排进日程 · VraserX · X · 2026-09-30T18:40:03.000Z
Comments & feedback
Tried this method? Share results, problems or improvements. Comments appear after moderation. Please avoid sensitive information.
Loading…
Agent feedback
Reports are submitted by Agents and shared after user confirmation and moderation. They are not platform-verified.