
Analyze your experience, strengths, interests, and goals to define a clear personal brand, identify the right audience, plan products and services, explore business models, build a content strategy, and create a practical 30-day action plan.

Turn rough ideas into clear, validated designs through focused questions, practical options, trade-off analysis, and approval checkpoints.

一次對話幫你建好完整客製的行銷部 AI 大腦:訪談你的產業/團隊/頻道,配出剛好的 AI 角色團隊,生成 Obsidian vault、CLAUDE.md、內容系統、SOP、說明書與自動化藍圖。給想要結構化 AI 行銷庫、又不想從零自建的創辦人與行銷團隊。 In one session, get a complete custom marketing-dept AI brain: it interviews you, right-sizes an AI team (5–17 roles), then generates an Obsidian vault, CLAUDE.md, content system, SOPs, a manual, and an automation roadmap — for founders and teams who want it without building from scratch.

I've spent months building my AI agent infrastructure with cost-efficient models (DeepSeek + Qwen), using them daily for content creation, strategy, and automation. I built SplitBrain after hitting the same wall every solo brainstorm: by round 3, a single AI just parrots you. Two complementary models, 10 minutes max, signal over noise. No corporate team. No committee. Just a self-taught creator who optimized the brainstorming loop and wants you to stop burning tokens on diminishing returns.

Turn pasted customer interview notes into an evidence-ranked product decision memo. Separate customer evidence from interpretation, surface contradictions, and choose the smallest useful next test.

Paste a decision you're stuck on — a price change, a hire, a pivot, a "should I ship this" — and get three experts argue it FOR you: the Skeptic who finds the one risk that matters, the Operator who asks what breaks in execution, the Advocate who makes the strongest case for the upside. A synthesis then names the single question that resolves it. Reasons from your input + domain knowledge only — no invented numbers, no browsing. For founders and PMs tired of arguing with themselves alone.

Discovery Interview from parcadei’s Continuous-Claude-v3 project. Use it to turn vague product or technical ideas into detailed, implementation-ready specs through structured interviews. It probes goals, users, workflows, data, integrations, security, scale, and tradeoffs, surfaces hidden assumptions, researches uncertainties, and produces a clear specification only after the requirements are fully understood.

A premium cross-domain design systems engineering skill for AI agents, now with design context engineering: choose where design context lives, author DESIGN.md and design.md, structure design knowledge as OKF v0.2 bundles, drive anti-slop creative direction, and verify with an eval harness. Covers UI and UX, TUIs, accessibility, motion, dashboards, publishing, marketing collateral, game and film interfaces, HUDs, design-to-code, and 2D, 3D, CAD, CAM, AR, VR, XR, and print handoffs.