Autonomy is limited by what can reject it.
Two reports published on the same day describe dozens of agents running unsupervised for days or weeks. One is a landmark, one is an incident, and the model was not the difference.
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A focused briefing that tracks meaningful changes, expands continuing stories, and turns the strongest signal into something builders can understand or test.
Two reports published on the same day describe dozens of agents running unsupervised for days or weeks. One is a landmark, one is an incident, and the model was not the difference.
Explore durable guidance for finding worthwhile opportunities and choosing AI systems the business can support.
A pilot can succeed on its own terms and change nothing about how the work gets done. Six stalls look identical from the outside and need different responses. Learn where the evidence lives and how to locate your own.
Read the articleA team can use AI every day without having a dependable AI capability. See what changes when AI moves from a personal productivity habit into a repeatable way the business gets work done.
Read the articleAI can write, predict, recommend, and recognize patterns. That does not make it a person, a source of guaranteed truth, or a complete business solution. Learn where AI is useful, where it can go wrong, and which questions matter most.
Read the articleAI being able to perform a task does not make it a worthwhile business opportunity. Learn how to evaluate complete workflows, avoid unnecessary complexity, and choose a practical next step.
Read the articleModel capability is only one part of a supportable business system. Use workflow fit, reliability, risk, adoption, and total cost to choose the least complex response that can create the required value.
Read the articleEach publication separates sourced evidence from Gecko Road analysis, explains when the guidance applies, and makes the limits clear.
How to find problems that matter, understand their value, and decide whether change deserves investment.
How people, information, handoffs, tools, exceptions, and review fit together in normal work.
What has to be true before a promising demonstration can work dependably in everyday use.
How clear responsibilities, practical education, safeguards, feedback, and human authority shape the system.
How to weigh total cost, operating burden, dependence, and whether complexity earns its place.
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