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Sean Kochel's AI business mastery: why AI products don't sell, persuasion architecture, and trust-building systems
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The /generate front door — in-house, pay-as-you-go creative generation (Higgsfield replacement). One command for image, video, and audio: routes each request to the right model recipe (skills/generate/models/*.json), defers to binding creative_router lanes (people → fal-people, style-family → fantastic-posters; Higgsfield fully retired 2026-08-06), quotes paid video before running, honors prompt-level budgets ("total budget $3"), runs comparison batches across models, logs every prompt beside its asset, and auto-refreshes the Asset Command Center (/assets-board). Use when the user says "generate", "make an image/video/voiceover", "create ads/assets/creative", names a model (recraft, kling, seedance, nano banana, gpt image), or asks for a multi-model comparison. Source: RoboNuggets 9C4TRbucmhQ, rebuilt on our fal-first stack.
The Edit Bay — in-house conversational video studio (VOX-style explainers, documentaries, shorts, LinkedIn video). Transcript-driven cutting, B-roll ladder, motion graphics as code, captions, music, publish-ready packages — all agent-operated, free-first. Use when Farrice says "edit this video/footage", "make an explainer/documentary/short", "cut this recording", "add B-roll/captions/music", "turn this essay/post into a video", or any video production ask. Front door for three modes: talking-head, VO-only, zero-camera (his recorded VO + assembled visuals — NO voice clone, NO TTS narration, his ruling 2026-08-06). Source: Brad Bonanno agentic edit pipeline (extractions/brad-bonanno-edit-bay/), rebuilt on the house stack: WhisperX local + edit_bay.py ffmpeg assembly + HyperFrames/Remotion graphics + /generate (fal) — NO Higgsfield (retired 2026-08-06).
Architects technical explainer videos using Brad Bonanno's structural patterns — survives short attention spans, communicates complete systems (not just teasers), and functions as a channel-building artifact (one video pulls subscribers, not just views). Use when planning a long-form technical explainer (5-20 min) for YouTube, structuring an explanation of a complex system the user knows but can't teach yet, balancing depth vs accessibility for a technical audience, or building an evergreen video meant to compound subscriber growth over years rather than spike then die. Trigger proactively whenever the user says "explainer video", "technical explainer", "how do I explain X", "long-form YouTube", "evergreen video", or has a complex system that needs to land with a non-expert. For Instagram-format shareworthy content use brock-johnson-shareworthy-content; for short-form video patterns use a TikTok/Reels-specific skill.
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| name | Sean Kochel: AI Business Mastery |
| description | Sean Kochel's AI business mastery: why AI products don't sell, persuasion architecture, and trust-building systems |
| version | 2.0 |
| format | completion-engine |
| workflows | 4 |
The 5 books that reveal why most AI products don't sell—and how to fix it with persuasion architecture.
| # | Workflow | Produces | Use When |
|---|---|---|---|
| market | Market Positioning & Competitive Audit | Strategic Positioning & Differentiation Report | You need to identify where your AI product fits in the market and how to beat established competitors. |
| trust | Trust & Persuasion Architecture Blueprint | End-to-End Trust-First Sales Funnel Design | You are building a funnel for high-ticket or complex AI products where buyer skepticism is the primary barrier. |
| messaging | Identity-Driven Messaging & Mechanism Engine | AI Product Messaging & Copy Deck | You need to translate technical AI features into emotional, identity-based copy that resonates with specific buyer personas. |
| conversion | Conversion & Onboarding Playbook | Objection Handling & User Retention Strategy | You need to close the sale by neutralizing objections and ensuring the first 30 days of user experience drive long-term retention. |
23 deterministic practitioner prompts — each carries an Output Contract, Output Skeleton, and Quality Gate. When a deliverable matches one, Read it and honor its contract instead of improvising the output shape.
skills/sean-kochel-ai-business/references/prompts-v2/crown_jewel_01_diagnostic.mdskills/sean-kochel-ai-business/references/prompts-v2/crown_jewel_02_headlines.mdskills/sean-kochel-ai-business/references/prompts-v2/crown_jewel_03_cialdini.mdskills/sean-kochel-ai-business/references/prompts-v2/crown_jewel_04_nesb.mdskills/sean-kochel-ai-business/references/prompts-v2/crown_jewel_05_identity.mdskills/sean-kochel-ai-business/references/prompts-v2/crown_jewel_06_sophistication.mdskills/sean-kochel-ai-business/references/prompts-v2/crown_jewel_07_commitment.mdskills/sean-kochel-ai-business/references/prompts-v2/crown_jewel_08_competitive.mdskills/sean-kochel-ai-business/references/prompts-v2/crown_jewel_08_curse.mdskills/sean-kochel-ai-business/references/prompts-v2/crown_jewel_09_rapid_audit.mdskills/sean-kochel-ai-business/references/prompts-v2/crown_jewel_09_social_proof.mdskills/sean-kochel-ai-business/references/prompts-v2/crown_jewel_10_curse.mdskills/sean-kochel-ai-business/references/prompts-v2/crown_jewel_10_social_proof.mdskills/sean-kochel-ai-business/references/prompts-v2/crown_jewel_11_objections.mdskills/sean-kochel-ai-business/references/prompts-v2/crown_jewel_11_onboarding.mdskills/sean-kochel-ai-business/references/prompts-v2/crown_jewel_12_differentiation.mdskills/sean-kochel-ai-business/references/prompts-v2/crown_jewel_12_trust.mdskills/sean-kochel-ai-business/references/prompts-v2/crown_jewel_13_cost_of_inaction.mdskills/sean-kochel-ai-business/references/prompts-v2/crown_jewel_13_cta.mdskills/sean-kochel-ai-business/references/prompts-v2/crown_jewel_14_trust_cascade.mdskills/sean-kochel-ai-business/references/prompts-v2/crown_jewel_15_mechanism_naming.mdskills/sean-kochel-ai-business/references/prompts-v2/crown_jewel_16_diagnostic_router.mdskills/sean-kochel-ai-business/references/prompts-v2/crown_jewel_17_proof_before_purchase.md