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.
Build an original AI creator step by step: define your character, prepare scripts and production prompts, plan a pilot and review results. Bring your own media tools; generation credits and publishing are not included.
Turn a rough skill idea into a structured blueprint: named, prompted, differentiated, and listing-ready.
AI Integration — Plans and builds LLM API connections (OpenAI, Anthropic, and more) into real apps. Covers model selection, cost estimation, key safety, error handling, and working code. Adapts to non-engineers and developers alike. Stops the #1 mistake: shipping your API key to the browser.
The creator has hands-on experience designing and operating AI-assisted business workflows, agentic systems, structured workspaces, automation routines, and governance mechanisms for safe human-AI collaboration. This includes practical expertise in workflow design, prompt and skill design, Codex/Claude-based agent operations, scheduled automation, evidence-based review, risk-aware approval flows, E2E evaluation, and iterative improvement of real operational systems.
Turn your AI agent into a business automation architect. Design, document, implement, and monitor automated workflows across sales, ops, finance, HR, and support — no n8n or Zapier required.
Stop guessing what to build. The 2026 AI-startup playbook with receipts: 111 cited sources (Sequoia, YC, NVIDIA, Anthropic, Carta, OpenAI) distilled into a decision system — the autopilot thesis ($6 of services behind every $1 of software), Greg Isenberg's 21 agent-startup categories, GEO/agent-readability, sovereign AI, and the real model-reasoning debate. Ships the evidence, a working idea evaluator, 7 templates, and 25 QA evals.
Turn PDFs, technical books and documentation into reusable AI Agent Skills. Compatible with: Claude Code Codex GitHub Copilot Agent Skills
Turn product ideas into implementation-ready plans before your AI agent writes a single line of code. AI Development Director produces structured requirements, architecture decisions, database schemas, implementation tasks, coding-agent prompts, review checklists, and launch checklists. This is not a code-generation prompt. It is the planning system that runs before code generation.