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BCI design and evaluation — signal decoding, calibration, closed-loop paradigms, and performance metrics.

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Structural and functional brain connectivity — tractography, functional networks, and graph-theoretic analysis.

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Build and apply brand guidelines — voice, visual identity, and usage rules that keep every touchpoint consistent.

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Run a monthly money check-in with an AI assistant: categorize spending, spot leaks, set one savings target, and view it through the 50/30/20 lens — judgment-free. Use once a month to stay aware of where your money goes. General educational information, not financial advice.

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Run an effective bug bounty program — scope design, triage, researcher relations, and remediation workflows.

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Bulk RNA-seq differential expression — experimental design, count modeling with DESeq2/edgeR, and enrichment.

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Bun runtime guidance — fast installs, built-in bundler and test runner, Bun.serve APIs, and migration from Node.

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Protect your time with Muse as calendar guardian: time-blocking, buffer time, declining gracefully, weekly calendar audits, and defending focus and personal time.

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Run your calendar like a pro: timeboxing, calendar layering, meeting hygiene, buffer design, and weekly planning rituals. Use when your schedule feels chaotic or your calendar controls you instead of the reverse.

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Capacity planning — forecasting demand, sizing infrastructure, and avoiding both outages and waste — use when scaling systems.

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Design and build LLM agents: ReAct loops, tool schemas, planning, memory, guardrails, evals, and human-in-the-loop. Use when building autonomous multi-step AI systems.

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Build AI chatbots end to end — conversation design, persona, retrieval grounding, escalation, and deployment. Use when creating a chatbot for support, sales, or internal assistance.

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Craft effective AI image prompts with structured syntax, style control, and iterative refinement techniques.

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Generate UI with AI tools effectively: prompt structure, design-system grounding, iteration technique, and evaluating output quality. Use when using AI to create interfaces.

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Proven prompts behind viral AI-made videos across 4 models — Claude, Muse AI, ChatGPT, Gemini. Browse by model, category, or tech tag, copy a creator's prompt, adapt it to your own model and renderer. Use when you need a motion-graphic, explainer visual, 3D scene, interactive animation, or AI video-gen prompt that already worked in the wild.

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Ship AI features to production — model selection, evals, latency/cost optimization, guardrails, monitoring, and iteration loops. Use when turning an LLM prototype into a reliable product feature.

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Build streaming AI user interfaces with AI SDK patterns — message rendering, tool-call displays, loading states, and optimistic updates. Use when creating chat UIs that stream model output and show agent activity.

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Build with AI21 Labs' models — Jurassic for generation and strong task-specific models for enterprise use.

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Distinguishing aims, objectives, hypotheses, and milestones — the hierarchy that keeps proposals logically tight.

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Designing alert rules that fire when it matters — thresholds, burn rates, and routing — for any monitoring stack.

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Idiomatic Angular: standalone components, signals, RxJS patterns, DI, and enterprise structure. Use when writing, reviewing, or structuring Angular applications.

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Use announcement banners effectively — in-app and site banners for launches, alerts, and critical messages.

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Ansible guidance — inventory, playbooks, roles, idempotency, vault secrets, and reliable automation at scale.

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Anthropic Claude API guidance — messages API, tool use, prompt caching, extended thinking, and production patterns.

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