AI Guides & Sector Playbooks

Twelve prompt-discipline rules for operators who need reliable AI output — context, constraints, verification, and when to stop trusting the model.

Copy-paste AI prompts to extract and qualify B2B leads from LinkedIn, Google Maps, company sites, and niche directories — without buying another SaaS scraper.

A five-minute scorecard for operators — decide whether AI should draft, assist, or stay out of a task entirely before you waste tokens or create liability.

Actionable lessons from Boris Cherny's public talks on building Claude Code — plan-first workflows, latent demand, token budgets, and when to let the agent run.

Ten copy-paste logo prompts for ChatGPT image generation — wordmark, icon, monogram, and mockup follow-ups with fill-in placeholders and quality rules.

Step-by-step settings to stop ChatGPT from training on your chats, when to use Temporary Chat, and how Team or API plans differ — for operators handling client or internal data.

Install Claude Code, configure permissions, run your first plan-mode task, and ship a small PR — a zero-to-shipping roadmap for operators new to agentic coding.

Keyboard shortcuts, session modes, workspace layout, and slash commands for the Claude Code Desktop app — parallel agents without living in the terminal.

Agent, Environment, Session, and Events explained — plus a minimal API flow to run long-running Claude tasks without building your own agent loop.

Install and run the open-source Feynman research agent — deep research, literature review, citation verification, and experiment workflows from the terminal.

Index any repo into a local knowledge graph and wire GitNexus MCP into Cursor or Claude Code — impact analysis, call chains, and safer agent edits.

Install, configure, and run Hermes Agent — Nous Research's open-source autonomous agent for terminal, messaging, and always-on workflows.

Twenty-nine editing patterns that strip the AI gloss from drafts — swap robotic phrasing for writing that sounds like a person wrote it.

Build a reusable AI marketing stack — positioning, copy, SEO briefs, ad variants, and analytics — without hiring a full team.

Self-host an open generative AI studio for image, video, and cinema workflows — local models, API routing, and a repeatable production pipeline.

A direct-mail playbook for B2B and local outreach — list building, copy templates, design specs, mailing logistics, and follow-up sequences that convert.

Audit your SaaS stack, identify AI-replaceable tools, and migrate to self-hosted or custom workflows — with a cost spreadsheet and rollback plan.

A solo founder's operating system for shipping with AI — daily rhythm, tool stack, agent workflows, and guardrails that keep one person moving like a small team.

When to use SubQ's long-context architecture — 12M-token windows, SSA attention, API setup, and workflows for repos, research, and agent state.

Learn the TradingAgents multi-agent debate architecture — analyst teams, bull/bear research, and risk deliberation — for educational simulation and software design.

Run code reviews with two different LLMs — one finds issues, one verifies fixes — to catch blind spots and reduce false positives before merge.

Deploy production AI agents on Google Vertex AI — LangGraph setup, Agent Engine runtime, checkpoints, observability, and Claude/Gemini model routing.