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Sell, sequence, scope, scale, and package AI second-brain / knowledge-base engagements for non-technical small businesses — the go-to-market and delivery layer on top of the KB build stack
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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.
基于 SOC 职业分类
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| name | Adam Sandler — Second-Brain GTM (The Viable Edge) |
| description | Sell, sequence, scope, scale, and package AI second-brain / knowledge-base engagements for non-technical small businesses — the go-to-market and delivery layer on top of the KB build stack |
| version | 1.0 |
| format | completion-engine |
| workflows | 8 |
| source | Ryan Doser 'AI Rabbit Holes' interview — 'He Sells AI Second Brains to Businesses (For $1000s)', 2026-07-14, 32:51 |
| credentials | Founder, The Viable Edge (viableedge.com); marketing background, 20+ years in the workforce, non-engineer building AI knowledge systems for founders, agencies, and marketing leaders |
Disambiguation: Adam Sandler of The Viable Edge (viableedge.com) — AI knowledge-base practitioner. Not the actor.
Adam is the first practitioner in the system who treats the knowledge base as an offer to sell, not just an artifact to build. Born from repeated client failure — "the information needed to power this workflow was not easily accessible" — he inverted the offer: the KB becomes step 1A, the paid entry point, the trust-builder, and the thing that guarantees the next engagement. This skill owns the go-to-market and delivery-packaging layer: audit-first entry, department-scale wedge, provider-portability sales language, markdown-first scaling, cross-silo insight harvest, branded client UI, and the anti-slop voice charter. It stacks on the build machinery (Simon, Liam Mley) — it never rebuilds it.
Recognition test: an Adam move sells a KB to a non-technical buyer and makes a folder of markdown feel like a $1000s product. If the deliverable teaches ingest/retrieve/tier mechanics, that's the build stack, not Adam.
| # | Workflow | Produces | Use When |
|---|---|---|---|
| 01 | ve-audit-offer | Paid KB audit: spine → 7-datapoint schema → on-fire/outdated/disconnected findings → scoped build proposal | Entry engagement with any prospect — the billable first step |
| 02 | ve-kb-first-sequencing | Re-sequenced offer architecture (KB step 1A, agents on top) + recurring-relationship math | Prospect asks for an agent/automation before a KB exists |
| 03 | ve-department-wedge | Department/team KB entry scope + deferred hierarchy/integration growth path | Buyer is nervous, large, or you want a manageable trust-building first bite |
| 04 | ve-portability-pitch | Unshackle/AI-readiness pitch script + the 7-surface export menu as demo-able proof | Buyer questions lock-in or "why not just use ChatGPT" |
| 05 | ve-insight-harvest | Cross-silo insight harvest as a named recurring deliverable (source silo → receiving silo → intelligence) | Client has data trapped in one department that another could use |
| 06 | ve-scaling-path | Markdown-first build spec + named Supabase migration gate + scrappy-connector plan | Scoping the substrate; deciding stack; a source has no API |
| 07 | ve-client-ui-layer | Branded clickable KB UI spec (markdown browser + graph-narrator) + the anti-slop voice charter | Delivery upgrade — abstracting the chat box, packaging as a product |
| 08 | ve-knowledge-work-positioning | Positioning statement in the knowledge-work whitespace vs engineer-targeted tooling | Differentiating the offer / building the sales page or pitch |
/library-retrieval-audit, /library-brain-ladder, /library-ingest-triage), Liam Mley AI Brain Builder (discovery + substrate install), April Dunford / Nicolas Cole (positioning), Oren anti-slop classifier + prose_classifier.py (voice charter enforcement).8 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/adam-sandler-second-brain-gtm/references/prompts-v2/client-kb-ui-and-voice-charter.mdskills/adam-sandler-second-brain-gtm/references/prompts-v2/cross-silo-insight-harvest.mdskills/adam-sandler-second-brain-gtm/references/prompts-v2/department-wedge-scope.mdskills/adam-sandler-second-brain-gtm/references/prompts-v2/kb-first-offer-sequence.mdskills/adam-sandler-second-brain-gtm/references/prompts-v2/knowledge-work-positioning.mdskills/adam-sandler-second-brain-gtm/references/prompts-v2/markdown-to-supabase-scaling.mdskills/adam-sandler-second-brain-gtm/references/prompts-v2/portability-pitch-export-menu.mdskills/adam-sandler-second-brain-gtm/references/prompts-v2/viable-edge-kb-audit.md