MARCH 2–6, 2026
Documentation and tooling
Release documentation, dashboard improvements, and the first HTML report renderer, with a detailed Git activity record.
Read the March 2–6 reportDOCUMENTATION TOOLS / REPORTING
I built Weekly Reports as part of my automated AI workflow in Prompts and Agents. The assistant collected activity from Git, working sessions, email, Teams, and my calendar, organized the information into a weekly report, and generated Markdown and HTML versions for reporting to my manager.
MY CONTRIBUTION
I designed the report structure and automated capture workflow, configured the connected sources, built the supporting tools with AI coding assistance, and reviewed the reports.
TOOL TYPE
An AI workflow combining session capture, source integrations, Python report generation, Markdown records, HTML rendering, SharePoint publishing, and a performance-review rollup.
SAMPLE REPORTS
Two original weekly reports, with their content and formatting preserved as generated by the workflow.
MARCH 2–6, 2026
Release documentation, dashboard improvements, and the first HTML report renderer, with a detailed Git activity record.
Read the March 2–6 reportAPRIL 6–10, 2026
A shorter report bringing together deliverables, collaboration, time allocation, lessons, and plans for the following week.
Read the April 6–10 reportTHE WORK
Git recorded article changes, but a weekly update also needed reviews, collaboration, troubleshooting, and changes to my tools. I built a workflow that collected those different kinds of work automatically.
The assistant captured completed work as it happened, adding timestamped notes and checking for duplicates. During report generation, it combined those notes with repository activity and context from email, Teams, and my calendar. Reflection supplied accomplishments, lessons, and tooling changes from working sessions.
I configured the sources and report structure, then reviewed the resulting account of deliverables, collaboration, blockers, lessons, and next steps.
COMPONENTS
The assistant and supporting scripts handled different parts of the same workflow. The report generator selected the week, loaded a template, scanned the configured repositories for my Git activity, and merged the captured notes and tooling log. Communication and calendar scans supplied additional work, collaboration, meeting, and time-allocation context.
AI grouped related items, removed repetition and low-value detail, and organized the material into report sections. The workflow produced an editable Markdown record and rendered its HTML counterpart. Configured publishing uploaded both formats to their SharePoint folders.
A separate rollup operation reused selected weekly records to produce a performance-review draft. The same saved work could support the weekly update and the longer-term review.
The workflow gathered and processed the inputs automatically. My role was configuring the workflow and reviewing the report it produced.
DEVELOPMENT & USE
The sample reports above are the original saved HTML files from March 2–6 and April 6–10, 2026.
SCOPE & RELATED TOOLS
I reviewed the generated account for accuracy and relevance. The rollup drew on the saved Markdown reports and produced a draft for a longer-term review.
The tools shared their working records. AI captured completed work throughout sessions; Daily Reflection added lessons and tooling problems; reporting organized those inputs into the weekly update. Learn from Source also supplied reviewed improvements to the reflection instructions.
The original plugin, consolidated reporting workflow, and standalone setup package were versions of the same reporting work. The archived implementation depended on the sources and access configured in my work environment.