Project Steering

Oct 11, 2026 · 2 min read
Task suggestions pass through owner review; changed tasks and missing estimates stay out of the ready shortlist. Illustration: a shortlist built from decisions I have reviewed.
projects

Project Steering helps me choose the next task from a long project list. I review each task’s impact, urgency, effort, and dependencies; the tool uses those decisions to produce an explained shortlist. Tasks that still need estimates stay visible in a separate queue.

Each task keeps its identity when it moves within the list, but suggestions are tied to its wording. If the description changes after an AI agent proposes an estimate or assignment, that proposal becomes stale and needs a fresh review. That keeps an old suggestion from being approved for changed work.

The review page also lets me hold a task until a chosen date without changing its priority score. Reviewing Corpus Health’s daily-scan trial, for example, can remain important while staying out of today’s shortlist until the trial finishes. Suggested assignments to coding agents have their own approval step, separate from priority estimates.

Scanning the list makes no AI or network calls and does not edit the source tracker. AI-generated estimates and assignments can be imported for review, but the software never treats them as approved decisions. Choosing or ranking a task does not start its implementation.

An October 10, 2026 scan accounted for 69 active tasks with no unresolved parsing warnings. That establishes coverage of that list, while the quality of the priorities still depends on the estimates and decisions I supply. Many estimates remained unfinished at that checkpoint. Scans currently run on demand; unattended scheduling is still planned. The status record and README describe the current review rules.

Aaron Scherf
Authors
Aaron Scherf (they/them)
PhD Student
I am a PhD student in Sustainable Development at Columbia University and a former USAID Foreign Service Officer. In Ukraine, I led the monitoring and evaluation team for over 50 development projects during the war. Previously, I worked on program design and social inclusion in Colombia, as well as budget analysis and knowledge management in Washington. Those experiences taught me how to ensure evidence is trustworthy and actionable, especially in conditions of rapidly changing and incomplete information. I now bring that perspective to research, data analysis, and practical software tools. I am available part-time for consulting and applied research collaborations.