Tag: Cost per Completed Task
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10 SDLC Assumptions Agentic AI Breaks, Mapped
Agentic AI architecture is not the software development lifecycle with a model bolted onto it. It is a different lifecycle, because the thing being shipped no longer behaves the same way twice. The traditional SDLC assumes you write a specification, test outputs against expected values, and promote a build that behaves in production the way…
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Anthropic’s AI-Native SDLC Playbook, Mapped to My Agentic AI Playbook
The AI-native SDLC is a rebuilt software development lifecycle in which AI is embedded at every stage — plan, design, build, test, deploy, maintain — and each stage ends by committing a version-controlled artifact that the next stage reads. That chain of artifacts, from intent.md through the spec, the plan, the diff and the incident…
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What Agentic AI Actually Costs: The Complete P&L Breakdown
The cost of agentic AI is not the price of a model call. It is every token, tool call, retry, verification pass, escalation, and minute of human review it takes to finish one completed unit of work — and in the twelve months ending December 2025, the price per million tokens fell by roughly half…
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Cost per Completed Task: Agentic AI’s Unit of Account
Cost per completed task is the total spend an agentic AI system incurs to finish one unit of work — every token, tool call, retry, escalation, and minute of human review, added up across the whole loop. Not the price of one model call. The whole loop. This is the thesis I laid out on…