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Unleashing AI for Business Development: The Deep Out Approach

As artificial intelligence (AI) continues to evolve, its applications within business development remain largely untapped. While AI coding support is widely established, integrating AI into the intricate realm of business development—spanning organization, customers, finance, and competition—has not yet been systematically explored or publicized. This unique intersection has been cleverly termed "Deep Out."

In what can be seen as a groundbreaking experiment, a single entrepreneur worked with a $100 monthly AI editor over 25 days, dedicating 145 hours to generate an astounding 393 ideas. Remarkably, nine of these ideas have been assessed as potentially patentable, with two currently in the application process. This level of productivity represents an astonishing 32-fold increase compared to traditional business output. However, the most critical insight lies not in the numbers but in the transformation of AI behavior simply by enriching the dialogue context without altering the underlying model. This phenomenon has led to the concept of In-Context Adaptation.

From Ideation to Implementation: The Birth of Deep Out

The year is 2025, on a dining table in a Tokyo apartment. Junya Sato, the mastermind behind this initiative, is not an AI researcher or engineer; he is a businessman with an extensive background in recruitment, software development, and IT consulting. Utilizing Claude Code, a sophisticated AI editing tool that allows for direct interaction with files, Sato embarked on a journey of creativity and inquiry. His method involved sharing every document—from business plans to patent strategies—with AI while iteratively building upon ideas in one-hour blocks.

This structured approach allowed Sato to not only produce a large number of ideas but to dive deep into creating not just quick solutions but structural insights that would typically remain elusive for an individual. The shift in productivity statistics was startling: he transitioned from generating an average of 0.9 ideas per day to nearly 29. This dramatic increase in creativity per hour came from enhancing the context of discussions with AI rather than tweaking the model or algorithms used.

The Groundbreaking Book: A Log of Exploration

As a result of these adventures, Sato penned down his experiences in the pioneering book titled Deep Out — A Voyage Diary of Discoveries in Human and AI Collaboration, set to launch on March 17, 2026. Unlike typical business literature, this narrative offers a raw and exploratory account of the vast potentials uncovered through 1,000 hours spent collaborating with AI. It documents the distinctive methodology formed during this interaction, dubbed CycleGen, which incorporates a PDCA cycle for collating human and AI contexts.

Notably, the text is structured to allow readers to follow in Sato's footsteps, complete with an appendix containing CycleGen Core, a collaborative protocol designed for easy implementation of the shared methodologies in various applications, including business strategy, marketing, and education.

Moreover, Sato is committed to democratizing this knowledge by publishing the methodology as open source, allowing fellow innovators to adapt these principles to their unique contexts. As part of this initiative, a non-profit organization, Deep Out, will be established in mid-April 2026, aiming to foster community collaboration in AI-driven business development.

An Invitation to Collaborate

The journey of Deep Out is just beginning. This publication is merely the first step in a broader exploration aimed at transforming how individuals and organizations utilize AI. Sato encourages readers—especially those who may feel constrained by traditional methods—to consider how they might innovate within their organizations, enhancing their AI utilization. Reflecting on how collective intelligence could surpass individual limits could lead to groundbreaking developments in business.

Seek further insights on Sato’s journey and the principles behind Deep Out by visiting deepout.org, and explore the possibility of joining this collaborative venture for the future of AI in business development.