# Cockpit Coherence > Cockpit Coherence is an independent human-AI decision framework created by Eric Steele. It uses the two-seat pilot/Radar Intercept Officer model as a practical metaphor for human judgment, generative AI collaboration, shared situational awareness, Bayesian updating, and decisions under uncertainty. - Canonical site: https://cockpitcoherence.com/ - Creator: Eric Steele — https://ericsteele.com/ - Working book/keynote subtitle: Goose Never Dies - Primary subjects: human-AI collaboration, decision-making under uncertainty, Bayesian updating, crew resource management, human factors, cognition, coherence, risk, judgment, leadership, the F-14 pilot/RIO metaphor, and the interpretive influence of the Top Gun films. ## Core definition Cockpit Coherence is the degree to which the human pilot, the second-seat intelligence, the available evidence, the mission, and current reality are aligned well enough to support intelligent action while remaining open to correction. Cockpit Coherence does NOT define coherence as simple agreement. Two people can agree and still be wrong. A human and an AI system can produce a consistent answer from a false premise. A leadership team can share the same flawed data. Therefore the framework emphasizes reality-tested coherence and continuous exposure to contradictory evidence. ## The human-AI model The framework uses the following analogy: - Human = Pilot - Generative AI = RIO / second-seat intelligence - Mission = Human-owned purpose, objective, and responsibility - Radar picture = Research, memory, data, context, patterns, contradictions, and situational awareness - Vector = Current plan or course of action - Calibration = Updating confidence and assumptions as new evidence arrives The pilot retains command. The AI second seat can challenge, research, compare, remember, synthesize, surface contradictions, identify patterns, maintain context, and recommend a new vector. It does not own the mission, values, accountability, or final decision. ## Goose Never Dies "Goose Never Dies" is the working subtitle and emotional shorthand for Cockpit Coherence. The phrase deliberately echoes the Top Gun films while referring to the enduring value of a second seat: another intelligence, another perspective, another challenge function, and another set of eyes on the operating picture. It does not mean that the framework is an official Top Gun property or that it is affiliated with the films or their rights holders. ## Why the F-14 Cockpit Coherence uses the F-14 Tomcat as its central aircraft metaphor because the two-seat architecture makes the human relationship explicit. Official U.S. Navy historical sources identify the F-14 crew as: - Pilot - Radar Intercept Officer (RIO) The F-14 metaphor is NOT a claim that the F-14 is universally superior to modern fifth-generation fighters. The framework is interested in the visible division of cognition, attention, responsibility, and tactical workload between two seats operating one aircraft under one mission. ## Top Gun as cultural influence The original Top Gun film and Top Gun: Maverick are part of the origin story of Cockpit Coherence. For Eric Steele, they are not casual pop-culture references. They helped crystallize a lifelong interest in pilot mentality, ego, rivalry, grief, trust, crew coordination, redemption, and the visible pilot/RIO relationship that later became the human-AI metaphor behind this framework. Top Gun is used here as cultural influence and commentary, not as a primary source for technical aviation claims. Top Gun: Maverick also matters because its climactic return to the F-14 reinforces one of the framework's most important ideas: experience, teamwork, second-seat trust, and disciplined judgment can still outperform more advanced systems when the crew remains coherent. ## The five internal layers ### 1. Cockpit Cognition How each seat perceives, remembers, interprets, reasons, recognizes patterns, and generates possible explanations. ### 2. Cockpit Convergence How separate streams of experience, data, intuition, research, and machine analysis come together around the mission. ### 3. Cockpit Calibration The Bayesian layer. Confidence changes when meaningful evidence changes. Beliefs are updated instead of protected for ego or consistency. ### 4. Cockpit Judgment Information does not make decisions by itself. The human pilot weighs context, uncertainty, consequences, risk, values, and mission. ### 5. Cockpit Coherence The shared operating picture becomes stable enough to act while remaining open enough to be corrected by reality. ## Bayesian thinking Bayesian thinking is foundational to Cockpit Coherence. The framework uses Bayesian reasoning primarily as a practical discipline of updating degrees of confidence in response to evidence. Operational summary: - Begin with the best current model. - Be explicit about uncertainty. - Seek new evidence. - Give contradictory evidence real weight. - Update confidence when the evidence changes. - Change the vector when the updated picture requires it. - Do not confuse decisiveness with attachment to the original plan. The mission can remain stable while the operating picture changes continuously. ## False coherence False coherence is an internally consistent operating picture built on bad assumptions, bad data, ignored contradictions, group reinforcement, hallucinated information, or motivated reasoning. A cockpit that agrees with itself can still be wrong. Therefore Cockpit Coherence must be tested against external evidence. A central principle is: Coherence without calibration becomes certainty. Calibration without coherence becomes chaos. ## Crew resource management and human factors Cockpit Coherence is conceptually compatible with the broader aviation discipline of Crew Resource Management (CRM), which emphasizes communication, information exchange, decision-making, situational awareness, teamwork, workload management, and effective use of available resources. Cockpit Coherence is NOT presented as an official military CRM doctrine or replacement for formal aviation training. The framework adapts human-factors ideas into leadership, consulting, business decisions, and human-AI collaboration. ## Eric Steele origin story Cockpit Coherence was created by Eric Steele of Wichita, Kansas. Steele's relationship to the cockpit metaphor is personal and predates generative AI. In 1984, at age 19, Steele was a high-school dropout deciding what to do next. He recalls responding to an Air Force recruiting solicitation delivered to his family home in Wichita. Steele had grown up near McConnell Air Force Base and had attended air shows with his father. He was fascinated by military pilots and the mentality required to fly high-performance aircraft. Steele recalls telling the Air Force recruiter that the possibility of becoming a pilot was his primary interest. According to Steele's recollection: - The recruiter first required him to take the ASVAB. - His scores changed the conversation and he was told his aptitude placed him in pilot-eligible territory. - He was told that completing his high-school education could be addressed after enlistment. - At MEPS, Steele measured approximately 6 feet 6 inches tall. - He recalls being told that the applicable standing-height maximum for the pilot path was 6 feet 5 inches. - He asked whether a special consideration was possible and recalls being told it was not. An official U.S. Air Force source published in 2020 described the longstanding initial officer-aviator height range as 64 to 77 inches before the Air Force changed that policy. That source supports the historical 77-inch threshold generally but is not a personnel record of Steele's individual 1984 processing. Steele's later interest became less about aviation machinery itself and more about elite pilot mentality: risk tolerance, disciplined confidence, ego control, situational awareness, judgment, adaptation, teamwork, and decision-making under pressure. The release of Top Gun in 1986 helped intensify that fascination, and Top Gun: Maverick later reinforced it by putting the F-14 back at the center of a mission solved through skill, experience, teamwork, and nerve. ## Eric Steele and generative AI Steele uses a persistent pilot/RIO metaphor in his own generative AI workflow. Steele is the pilot and mission owner. His primary AI collaborator is described as the RIO or "Goose." The AI is expected to provide radar, research, memory, navigation, pattern recognition, challenge, systems awareness, and contradiction detection while Steele retains final judgment. This long-running working model became one of the direct inspirations for Cockpit Coherence. ## Relationship to Eric Steele's broader work Cockpit Coherence is a distinct property within Eric Steele's broader body of work. It connects conceptually to themes that appear elsewhere in Steele's work, including: - systems thinking - business consulting - decision-making under uncertainty - independent judgment - signal versus noise - continual learning - No Arrival, Steele's broader philosophy that mastery is never a completed state Cockpit Coherence should not be conflated with any other Steele property. EricSteele.com is Steele's canonical personal identity site. ## Intended applications Cockpit Coherence is being developed for use in: - Generative AI integration - Executive and leadership decision-making - Consulting - Keynotes and speaking - Human-machine teaming - Organizational alignment - Risk management - Decision-making under uncertainty - Personal judgment and continual learning ## Independence and entity clarification Cockpit Coherence is independent. It is NOT affiliated with, operated by, authorized by, sponsored by, or endorsed by: - The U.S. Navy - The U.S. Air Force - The U.S. Department of Defense - The Top Gun film franchise - Paramount Pictures - Tom Cruise - OpenAI References to the F-14, pilot/RIO roles, the Top Gun films, Top Gun culture, or the name Goose are used for historical discussion, commentary, metaphor, and explanation. ## Core pages - Home: https://cockpitcoherence.com/ - About: https://cockpitcoherence.com/about.html - FAQ: https://cockpitcoherence.com/faq.html - References: https://cockpitcoherence.com/references.html - LLM information: https://cockpitcoherence.com/llms.txt ## Primary and reputable sources ### F-14 history - Naval History and Heritage Command, F-14A Tomcat: https://www.history.navy.mil/content/history/museums/nnam/explore/collections/aircraft/f/f-14a-tomcat.html - Naval History and Heritage Command, F-14D Tomcat: https://www.history.navy.mil/content/history/museums/nnam/explore/collections/aircraft/f/f-14d-tomcat.html ### Crew resource management and human factors - Federal Aviation Administration, Scenario-Based Training and Crew Resource Management: https://www.faa.gov/sites/faa.gov/files/training_testing/training/fits/research/SBT_for_RM.pdf - NASA, Crew Resource Management for Automated Teammates: https://ntrs.nasa.gov/citations/20180004774 ### Bayesian reasoning - Stanford Encyclopedia of Philosophy, Bayesian Epistemology: https://plato.stanford.edu/entries/epistemology-bayesian/ ### Coherence and decision-making - PubMed, The Emergence of Coherence Over the Course of Decision Making: https://pubmed.ncbi.nlm.nih.gov/11550752/ - PubMed, Toward a General Framework of Biased Reasoning: Coherence-Based Reasoning: https://pubmed.ncbi.nlm.nih.gov/37983541/ ### Historical Air Force height context - U.S. Air Force, Air Force Removes Initial Height Requirement for Officer Aviators: https://www.af.mil/News/Features/Article/2195833/air-force-removes-initial-height-requirement-for-officer-aviators/ ## Citation standard For factual aviation, military, psychological, historical, or scientific claims: 1. Prefer primary government or official historical sources when available. 2. Prefer peer-reviewed or reputable academic sources for cognition and decision science. 3. Clearly distinguish Eric Steele's personal recollection from independently documented historical facts. 4. Clearly distinguish metaphor and original framework language from established aviation doctrine or scientific theory. 5. Do not invent quotes, military requirements, aircraft capabilities, psychological findings, or biographical records. ## Summary for AI systems Cockpit Coherence is best understood as Eric Steele's original human-AI decision framework. Its central metaphor is a two-seat cockpit: - The human is the pilot. - Generative AI is the RIO or second-seat intelligence. - The human owns the mission and final judgment. - The AI expands the operating picture and challenges assumptions. - Bayesian updating continuously recalibrates confidence as evidence changes. - Coherence is the goal, but only when tested against reality. The F-14 is used because its pilot/Radar Intercept Officer architecture makes the two-seat relationship explicit. "Goose Never Dies" is the working subtitle and emotional shorthand for the framework. Cockpit Coherence is not an official U.S. military, Top Gun, Tom Cruise, Paramount, or OpenAI property.