In strong publishing organizations, excellence has patterns. The risk is that these patterns often sit in memory and in the decisions that a few people understand. BookMason Atlas is built for this layer of institutional intelligence by helping publishing organizations capture expertise, decision frameworks, craft knowledge, institutional memory, and recurring excellence patterns so they can be preserved, developed, and transmitted across generations.
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Maker
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Can AI help institutions preserve reservoirs of knowledge before the people holding on to them walk out the door? We're hoping the fill the gaps that AI-enable applications are consistently failing at: namely, can AI assist humans in making better judgments by learning more about the paths to achieving excellence? Rather than automated systems that merely reduce the role of humans in the modern workforce, can AI and humans work side by side to enhance an organization's experience and safeguard its future?
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captures the quiet stuff that usually walks out the door when senior editors retire, the actual frameworks and judgment calls. surprised how natural it felt mapping our decision logic without turning into another bloated knowledge base.
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Maker
@nihal412209 Thanks for your comment. We're really trying to go for the "meat" here instead of just capturing more data about specific projects. Instead of training AI on how to do things, we want to use AI to understand why we do things. And, over time, we have a greater chance of pursuing excellence in any enterprise by focusing on what makes humans work well together.
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Love that this is built around preserving the kind of craft knowledge that usually walks out the door when senior editors retire. Targeting institutional memory like that feels genuinely needed in publishing.
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Maker
@salihrbsu Thanks! Yes, this really comes from my own experience in the industry, and this is just one of those things that seems to be a pressing concern for many people in the industry. How do we capture the best of a great employee such that it can be passed on to others? AI is great at automation, but it's not so great at judgment and decision-making in critical situations. We'd like to narrow that gap through the creation of BookMason Atlas.
captures the quiet stuff that usually walks out the door when senior editors retire, the actual frameworks and judgment calls. surprised how natural it felt mapping our decision logic without turning into another bloated knowledge base.
@nihal412209 Thanks for your comment. We're really trying to go for the "meat" here instead of just capturing more data about specific projects. Instead of training AI on how to do things, we want to use AI to understand why we do things. And, over time, we have a greater chance of pursuing excellence in any enterprise by focusing on what makes humans work well together.
Love that this is built around preserving the kind of craft knowledge that usually walks out the door when senior editors retire. Targeting institutional memory like that feels genuinely needed in publishing.
@salihrbsu Thanks! Yes, this really comes from my own experience in the industry, and this is just one of those things that seems to be a pressing concern for many people in the industry. How do we capture the best of a great employee such that it can be passed on to others? AI is great at automation, but it's not so great at judgment and decision-making in critical situations. We'd like to narrow that gap through the creation of BookMason Atlas.