Claude Code builds a quiz-business morning brief
A solo founder reports a Claude Code morning brief combining calendar, live quiz analytics, pending work and session memory, exposing stale drafts and unfinished deployment work.
Original prompt
Shared by the source author. See source notes for context.
good morning
Reach people exploring AI agents
See placements →Evidence at a glance
Sourced account- Source author
- u/jonathanmalkin on Reddit
- Original account
- Read the source ↗
- Published
- Source link checked
- Reported result
- A solo founder reports a Claude Code morning brief combining calendar, live quiz analytics, pending work and session memory, exposing stale drafts and unfinished deployment work.
- Human involvement
- The founder reviews the brief and confirms intent when voice instructions conflict or change. The brief does not itself prove deployment or customer communication.
A linked account supports attribution. It does not mean we independently reproduced its result.
Report an issue with this case
Open correction emailOpens your email app with the case link included. Nothing is sent automatically.
How the agent did it
- Gather calendar, application analytics and the configured research streams.
- Read the current status document and previous session report.
- Summarise pending work, decisions, quiz activity and calendar conflicts.
A solo founder runs a quiz web application and begins the day with a Claude Code morning skill. Its orchestrator gathers five data streams, including Google Calendar, live app analytics, engagement links, a research feed and YouTube transcripts. It then reads the status document, previous session report and memory files.
The reported brief identifies current tasks, pending decisions and work committed but not yet deployed. It also includes a quiz pulse with starts and completions and checks calendar conflicts. Staleness rules flag drafts older than seven days, memory sections older than ninety days and missing wrap-ups, so the result highlights neglected work as well as the current queue.
The founder skims the brief and responds through voice dictation, while a separate intent-confirmation rule reconciles conflicting or changed instructions before action. The account does not prove that a morning report itself deploys code, sends replies or improves conversion. Those are separate tasks in the same workspace. The useful dependency is yesterday's recorded state: a current dashboard metric alone would not reveal a committed change that still needs deployment. The short original instruction below starts the workflow; its actual data connections and staleness rules require the configured skill.
Prompt
Original prompt
Source: Reddit · u/jonathanmalkin on Reddit
Frequently asked questions
Why read the previous session report?
It preserves unfinished work, such as a committed change that has not yet been deployed.
What staleness thresholds are reported?
Drafts older than seven days and memory sections older than ninety days are flagged, alongside missed wrap-ups.
Does the brief automatically execute its tasks?
The reported workflow begins with the founder reviewing the brief and confirming intended actions; subsequent tasks are separate.
More details
Remaining steps
- Flag stale drafts, memory and missing wrap-ups.
- Have the founder review and confirm the next actions.
About this account
Claude Code combines live tool data with local work-state records, synthesises priorities and applies staleness rules before presenting the morning report.
Firsthand account by u/jonathanmalkin on Reddit; original publication date verified against Reddit created_utc 1772801472, converted to UTC calendar date. Outcomes are the author’s reports, not independently reproduced. Original skill-trigger phrase shared by the founder; not the complete orchestrator instruction.
Credit: u/jonathanmalkin on Reddit
Source published
Added to Agents In Use
Source checked
Tools and topics
Claude Code · Google Calendar · App analytics · Terrain.md · Session reports · Wispr Flow
Morning business brief · Pending deployment · Staleness flags
Editorial completeness: 100/100. Measures documented fields, not agent performance or verified outcomes.