From Productivity to Throughput
Source-grounded pack with Plan AI Leverage for Throughput, Review Queue Health After AI, and Map a Throughput Constraint, plus 1 more.
Use this pack when
Choose this pack when the work touches From Productivity to Throughput and you need a bounded workflow with explicit inputs, a defined output, and human review gates.
Included workflows
Choose the job in front of you.
4 source-grounded skills. Load one workflow at a time.
Plan AI Leverage for Throughput
Use this workflow when designing an AI intervention against a known workflow constraint to improve accepted work, decision throughput, or learning throughput while controlling WIP, review displacement, quality, and the next constraint.
Output Return an agentleverageplan with constraint, throughputunit, intervention, boundedjob, outputobject, decisionorlearningloop, flowcontrols, qualitygates, reviewcapacity, measures, predictedconstraint, owner, and decisionrule.
Review Queue Health After AI
Use this workflow when AI has increased drafts, options, tickets, code, analyses, or other work in progress and operators need to diagnose congestion, aging, reviewer overload, batch size, intake quality, and output inflation.
Output Return a queuehealthreview with queue, arrivalrate, acceptedexitrate, wip, aging, segments, reviewcapacity, quality, rework, outputinflation, rootcauses, flowcontrols, owner, and followup.
Map a Throughput Constraint
Use this workflow when mapping one workflow from trigger to accepted outcome to distinguish local AI productivity from system throughput, locate the actual constraint, and predict where pressure will move after intervention.
Output Return a throughputconstraintmap with workflow, throughputunit, acceptedfinish, flowsteps, queues, wip, reviewload, rework, originalconstraint, aiintervention, localeffect, systemhypothesis, predictednextconstraint, and baseline.
Design AI Throughput Measurement
Use this workflow when measuring or auditing whether AI made one workflow faster and better rather than merely busier, using accepted outcomes, cycle and queue time, WIP, review displacement, quality, decisions, learning, cost, and constraint movement.
Output Return an aithroughputpacket with workflow, throughputunit, baseline, intervention, localproductivity, systemthroughput, flow, qualityadjustment, reviewdisplacement, decisionthroughput, learningthroughput, costperacceptedoutcome, segments, newconstraint, and decision.
Human review
Keep consequential decisions explicit.
These workflows structure analysis and artifacts; they do not authorize autonomous external, personnel, financial, legal, security, or other high-impact action.
Source and files
Grounded in the complete From Productivity to Throughput series.
10 source essays · 4 usable skills · reviewed Jul 2026