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A Real AI Agent Is a System, Not a Chat Window
A model generates predictions. An agent surrounds that model with tools, data, state, orchestration, permissions, and verification so it can pursue a…
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Receipt Recognition from Photos: A Verifiable Workflow
A receipt-photo pipeline should separate image intake, structured extraction, business validation, exception review, and controlled export.
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A Verified Margin Case for One Generative AI Workflow
Generative AI spending becomes difficult to defend when leaders can see licenses, pilots, and activity but cannot connect them to a financial…
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How to Cut LLM Cost Without Damaging Answer Quality
Attribute cost to the accepted answer, change one lever at a time, and use calibrated evaluations to prevent silent quality regressions.
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Agentic AI Starts With One Accountable Process
Agentic AI becomes useful when it owns a bounded workflow with trusted data, permitted tools, measurable outcomes, and clear human escalation.
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How AI Agents Work: Principles, Limits, and Controls
A practical explanation of the agent loop, the difference between principles and rigid instructions, and the controls needed before an agent can…
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A Decision-Ready Cost Model for Production AI Infrastructure
An AI pilot can fit its experimental budget and still become uneconomic when it inherits production traffic, retention, monitoring, support, recovery, and…
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Reliability Targets for AI Systems in Production
Define reliability around a user journey, then connect quality, availability, latency, recovery, and error budgets to clear operating decisions.
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Do the Cloud Exit Math Before You Move Anything
A lower hardware quote is not a migration plan. A sound cloud exit decision includes workload shape, capacity, spares, operations, resilience, and…
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