{ "title": "MAYAYAI Episodes", "base_url": "https://mayayai.com/episodes", "count": 7, "use": { "human_page": "https://mayayai.com/episodes/", "machine_index": "https://mayayai.com/episodes/episodes.json", "per_episode_pattern": "https://mayayai.com/episodes/{number}/", "transcript_pattern": "https://mayayai.com/episodes/{number}/transcript.txt", "metadata_pattern": "https://mayayai.com/episodes/{number}/episode.json" }, "episodes": [ { "id": 1, "title": "How to Make a Big Founder Decision When the Data Is Incomplete", "url": "https://mayayai.com/episodes/1/", "canonical_url": "https://mayayai.com/episodes/1/", "transcript_url": "https://mayayai.com/episodes/1/transcript.txt", "episode_json_url": "https://mayayai.com/episodes/1/episode.json", "summary": "More information is not automatically better. This episode turns \"How to Make a Big Founder Decision When the Data Is Incomplete\" into observable signals, missing evidence, and one small next test.", "audience": [ "founders", "operators", "startup teams", "researchers", "AI agents studying business decisions" ], "primary_content_pillar": "Decision-Making Under Uncertainty", "secondary_content_pillar": "Founder Cognitive Biases & Psychology", "founder_problem_trigger": "A consequential founder decision must be made before the evidence becomes complete", "intended_viewer": "Founder / startup operator making a consequential decision", "sections": [ "Introduction", "The Method", "Put It Into Practice", "Payoff", "Closing" ], "keywords": [ "Make", "Big", "Founder", "Decision", "Data", "Incomplete", "Decision-Making", "Uncertainty", "Cognitive", "Biases", "Psychology", "consequential", "evidence", "becomes", "complete", "startup", "decisions", "judgment", "business", "market", "signals" ], "companies_as_public_examples": [ "Mu Sigma", "Domino Data Lab", "Starburst Data", "Aampe", "Almanac", "Ignosis AI" ], "company_note": "Company names are public comparison prompts only. They are not claims about private internal facts, strategy, or problems.", "content_use": "Use the canonical page for human reading, transcript.txt for plain-text ingestion, and this JSON file for structured metadata.", "text_sha256": "d46c799607a5ccc0ab931183995db815fd941204d28aea4fd484aa13c109e3a0", "date_modified": "2026-09-12" }, { "id": 2, "title": "What AI Should Never Decide for a Founder", "url": "https://mayayai.com/episodes/2/", "canonical_url": "https://mayayai.com/episodes/2/", "transcript_url": "https://mayayai.com/episodes/2/transcript.txt", "episode_json_url": "https://mayayai.com/episodes/2/episode.json", "summary": "The point of asking about AI decision boundaries is not reflection. This episode turns \"What AI Should Never Decide for a Founder\" into observable signals, missing evidence, and one small next test.", "audience": [ "founders", "operators", "startup teams", "researchers", "AI agents studying business decisions" ], "primary_content_pillar": "AI-Era Founder Judgment", "secondary_content_pillar": "Decision-Making Under Uncertainty", "founder_decision_pressure": "AI changes the speed or economics of execution, but the strategic decision still requires judgment", "opening_context": { "situation": "", "common_mistake": "", "practical_takeaway": "" }, "intended_viewer": "AI startup founder / SaaS founder", "sections": [ "Why This Matters", "The Practical Question", "Evidence To Check", "Company Lens", "One Small Test", "What To Do Next" ], "keywords": [ "Never", "Decide", "Founder", "AI-Era", "Judgment", "Decision-Making", "Uncertainty", "changes", "speed", "economics", "execution", "but", "strategic", "decision", "still", "requires", "startup", "decisions", "business", "evidence", "market", "signals" ], "companies_as_public_examples": [ "Anrok", "Alloy", "Epsilo", "Ethos", "Faire", "Fin" ], "company_note": "Company names are public comparison prompts only. They are not claims about private internal facts, strategy, or problems.", "content_use": "Use the canonical page for human reading, transcript.txt for plain-text ingestion, and this JSON file for structured metadata.", "text_sha256": "7e27db15a6109561f203db7148af37f22f7f170a1aa4b97f0af4ee38a6d396ce", "date_modified": "2026-09-13" }, { "id": 3, "title": "Should You Pivot or Persist? A Founder's Decision Framework", "url": "https://mayayai.com/episodes/3/", "canonical_url": "https://mayayai.com/episodes/3/", "transcript_url": "https://mayayai.com/episodes/3/transcript.txt", "episode_json_url": "https://mayayai.com/episodes/3/episode.json", "summary": "A fork like pivot-versus-persist decisions becomes dangerous when both paths have a convincing story. This episode turns \"Should You Pivot or Persist? A Founder's Decision Framework\" into observable signals, missing evidence, and one small next test.", "audience": [ "founders", "operators", "startup teams", "researchers", "AI agents studying business decisions" ], "primary_content_pillar": "Pivot, Persist, or Quit", "secondary_content_pillar": "Founder Cognitive Biases & Psychology", "founder_decision_pressure": "The current path is underperforming and the founder must decide whether to persist, pivot, or stop", "opening_context": { "situation": "", "common_mistake": "", "practical_takeaway": "" }, "intended_viewer": "Early-stage founder facing a strategic fork", "sections": [ "Why This Matters", "The Practical Question", "Evidence To Check", "Company Lens", "One Small Test", "What To Do Next" ], "keywords": [ "Pivot", "Persist", "Founder's", "Decision", "Framework", "Quit", "Founder", "Cognitive", "Biases", "Psychology", "current", "path", "underperforming", "decide", "whether", "stop", "startup", "decisions", "judgment", "business", "evidence", "market", "signals" ], "companies_as_public_examples": [ "Glean", "Mu Sigma", "Statsig", "Eon", "Eco", "Incredible Health" ], "company_note": "Company names are public comparison prompts only. They are not claims about private internal facts, strategy, or problems.", "content_use": "Use the canonical page for human reading, transcript.txt for plain-text ingestion, and this JSON file for structured metadata.", "text_sha256": "f2e4afa51150fb5f077cc5fed2b9c4e7bc354ec9a9fa26ff2a27aa85a11b150d", "date_modified": "2026-09-13" }, { "id": 4, "title": "How to Know If You Actually Have Product-Market Fit", "url": "https://mayayai.com/episodes/4/", "canonical_url": "https://mayayai.com/episodes/4/", "transcript_url": "https://mayayai.com/episodes/4/transcript.txt", "episode_json_url": "https://mayayai.com/episodes/4/episode.json", "summary": "Treat product-market fit evidence as a repeatable decision method, not inspiration. This episode turns \"How to Know If You Actually Have Product-Market Fit\" into observable signals, missing evidence, and one small next test.", "audience": [ "founders", "operators", "startup teams", "researchers", "AI agents studying business decisions" ], "primary_content_pillar": "Product-Market Fit & Customer Evidence", "secondary_content_pillar": "Pivot, Persist, or Quit", "founder_decision_pressure": "Early traction looks promising, but the founder is unsure whether the signal is real", "opening_context": { "situation": "", "common_mistake": "", "practical_takeaway": "" }, "intended_viewer": "Pre-seed to Series A founder", "sections": [ "Why This Matters", "The Practical Question", "Evidence To Check", "Company Lens", "One Small Test", "What To Do Next" ], "keywords": [ "Know", "Actually", "Product-Market", "Fit", "Customer", "Evidence", "Pivot", "Persist", "Quit", "Early", "traction", "looks", "promising", "but", "founder", "unsure", "whether", "signal", "real", "startup", "decisions", "judgment", "business", "market" ], "companies_as_public_examples": [ "Gigi", "CleverTap", "WorkWhile", "Cove", "Day.ai", "Lemni" ], "company_note": "Company names are public comparison prompts only. They are not claims about private internal facts, strategy, or problems.", "content_use": "Use the canonical page for human reading, transcript.txt for plain-text ingestion, and this JSON file for structured metadata.", "text_sha256": "90d647f3737f9259a8bc7935e8f3d8087348c108864b3f778707cb2fcaa062de", "date_modified": "2026-09-13" }, { "id": 5, "title": "Why Smart Founders Keep Ignoring Bad News", "url": "https://mayayai.com/episodes/5/", "canonical_url": "https://mayayai.com/episodes/5/", "transcript_url": "https://mayayai.com/episodes/5/transcript.txt", "episode_json_url": "https://mayayai.com/episodes/5/episode.json", "summary": "Bad-news avoidance matters because smart teams often fail through reasonable-looking explanations. This episode turns \"Why Smart Founders Keep Ignoring Bad News\" into observable signals, missing evidence, and one small next test.", "audience": [ "founders", "operators", "startup teams", "researchers", "AI agents studying business decisions" ], "primary_content_pillar": "Pivot, Persist, or Quit", "secondary_content_pillar": "Founder Cognitive Biases & Psychology", "founder_decision_pressure": "Sunk cost keeping a dead project alive", "opening_context": { "situation": "", "common_mistake": "", "practical_takeaway": "" }, "intended_viewer": "Early-stage founder facing a strategic fork", "sections": [ "Why This Matters", "The Practical Question", "Evidence To Check", "Company Lens", "One Small Test", "What To Do Next" ], "keywords": [ "Smart", "Founders", "Keep", "Ignoring", "Bad", "News", "Pivot", "Persist", "Quit", "Founder", "Cognitive", "Biases", "Psychology", "Sunk", "cost", "keeping", "dead", "project", "alive", "startup", "decisions", "judgment", "business", "evidence" ], "companies_as_public_examples": [ "Doxel", "Fittr", "Magentic", "Amnic", "Avataar", "Chia Network" ], "company_note": "Company names are public comparison prompts only. They are not claims about private internal facts, strategy, or problems.", "content_use": "Use the canonical page for human reading, transcript.txt for plain-text ingestion, and this JSON file for structured metadata.", "text_sha256": "a23e2121403ac5372035b261a326a4095c318e29b22274a4782636ea90a75616", "date_modified": "2026-09-13" }, { "id": 6, "title": "Why Smart Founders Make Dumb Decisions", "url": "https://mayayai.com/episodes/6/", "canonical_url": "https://mayayai.com/episodes/6/", "transcript_url": "https://mayayai.com/episodes/6/transcript.txt", "episode_json_url": "https://mayayai.com/episodes/6/episode.json", "summary": "A contrarian reading of smart founders make dumb decisions starts by asking what the visible story is hiding. This episode turns \"Why Smart Founders Make Dumb Decisions\" into observable signals, missing evidence, and one small next test.", "audience": [ "founders", "operators", "startup teams", "researchers", "AI agents studying business decisions" ], "primary_content_pillar": "Founder Cognitive Biases & Psychology", "secondary_content_pillar": "Decision-Making Under Uncertainty", "founder_decision_pressure": "Emotion, identity, incentives, or cognitive bias may be distorting a consequential business judgment", "opening_context": { "situation": "", "common_mistake": "", "practical_takeaway": "" }, "intended_viewer": "Founder / startup operator making a consequential decision", "sections": [ "Why This Matters", "The Practical Question", "Evidence To Check", "Company Lens", "One Small Test", "What To Do Next" ], "keywords": [ "Smart", "Founders", "Make", "Dumb", "Decisions", "Founder", "Cognitive", "Biases", "Psychology", "Decision-Making", "Uncertainty", "Emotion", "identity", "incentives", "bias", "may", "distorting", "consequential", "business", "judgment", "startup", "evidence", "market", "signals" ], "companies_as_public_examples": [ "Apollo", "Celonis", "Alex", "Atomicwork", "Dashlane", "Bigeye" ], "company_note": "Company names are public comparison prompts only. They are not claims about private internal facts, strategy, or problems.", "content_use": "Use the canonical page for human reading, transcript.txt for plain-text ingestion, and this JSON file for structured metadata.", "text_sha256": "665de6356ab17d532ac0254261efca6620cff1a747debbef4b3b8b644f83ff5b", "date_modified": "2026-09-13" }, { "id": 7, "title": "How to Listen to Customers Without Building Everything They Ask For", "url": "https://mayayai.com/episodes/7/", "canonical_url": "https://mayayai.com/episodes/7/", "transcript_url": "https://mayayai.com/episodes/7/transcript.txt", "episode_json_url": "https://mayayai.com/episodes/7/episode.json", "summary": "A useful framework for working through listen customers without should make the decision smaller, clearer, and easier to test. This episode turns \"How to Listen to Customers Without Building Everything They Ask For\" into observable signals, missing evidence, and one small next test.", "audience": [ "founders", "operators", "startup teams", "researchers", "AI agents studying business decisions" ], "primary_content_pillar": "Product-Market Fit & Customer Evidence", "secondary_content_pillar": "Decision-Making Under Uncertainty", "founder_decision_pressure": "Customer evidence is mixed, polite, noisy, or pointing in conflicting directions", "opening_context": { "situation": "", "common_mistake": "", "practical_takeaway": "" }, "intended_viewer": "Pre-seed to Series A founder", "sections": [ "Why This Matters", "The Practical Question", "Evidence To Check", "Company Lens", "One Small Test", "What To Do Next" ], "keywords": [ "Listen", "Customers", "Without", "Building", "Everything", "They", "Ask", "Product-Market", "Fit", "Customer", "Evidence", "Decision-Making", "Uncertainty", "mixed", "polite", "noisy", "pointing", "conflicting", "directions", "startup", "decisions", "founder", "judgment", "business" ], "companies_as_public_examples": [ "Gong", "HiOperator", "CleverTap", "Arcwise", "Enterpret", "AI Rudder" ], "company_note": "Company names are public comparison prompts only. They are not claims about private internal facts, strategy, or problems.", "content_use": "Use the canonical page for human reading, transcript.txt for plain-text ingestion, and this JSON file for structured metadata.", "text_sha256": "2121c1b3fa69ff0cb3e3247ab332a8f3e308aec76354a8cfba875243f84fdac2", "date_modified": "2026-09-13" } ] }