Guides

Grade Less, Teach More is a privacy-first AI planning system that helps K-12 and higher-ed teachers draft lesson plans, differentiate materials, and speed up feedback in minutes instead of hours — while keeping every final grading decision in the teacher's hands. Built for educators who are tired of losing their evenings and weekends to planning and grading, it comes with a ready-to-use prompt library, troubleshooting guide, and printable checklists to get started right away.

A beginner's guide to building a Custom GPT for your local service business — for contractors, salons, cleaners, and other local service businesses who want a ChatGPT assistant trained on their own info, without hiring a developer.

A beginner's system for automating repetitive work using Claude + Zapier or Make. Built for solopreneurs, freelancers, and small business owners who want to stop doing manual tasks by hand — without hiring a developer.

A step-by-step Windows blueprint for complete beginners — build and ship a real web app using VS Code, Claude Code, Next.js, and Vercel, with no coding experience required.

A practical guide to researching faster and smarter — tools, frameworks, and techniques to find better information in less time.

A creator's guide to turning your own long-form recordings into a consistent stream of short clips using AI clipping tools — includes a step-by-step workflow, a four-tier Claude prompt library, troubleshooting guide, cheat sheet, and printable checklists.

A sysadmin's guide to using AI coding assistants safely in Linux and IT work — covers log analysis, shell scripting, troubleshooting, and incident documentation, with a four-tier prompt library, a never-do-this list, and printable safety checklists.

A practical, task-by-task guide for nursing students that maps the right AI tool to every part of the workload - concept review, flashcards, care plans, and NCLEX prep - with the verification habits healthcare demands built in at every step.

A technical guide for developers and power users on building a lightweight AI orchestration layer - routes each task to the model actually best suited for it, with real router code, classifier prompts, fallback handling, and cross-provider cost controls.

A no-code guide for small business owners on building their own AI front desk - covers both website chat and phone/voice receptionists, with step-by-step setup, scripting templates, escalation rules, an AI disclosure framework, and a testing checklist.

A tight sprint format that forces a decision, a build, and a validated test in 72 hours.

A systems-first guide for solo founders: pipelines, cadences, and automations that keep a one-person business shipping.

A 40-point audit framework that maps your AI workflows end to end, flags single points of failure, and hands you a prioritized fix list.

A practical handbook on writing prompts that behave: structure, constraints, few-shot patterns, and evaluation loops for production LLM work.

A playbook of rules, filters, and AI drafting flows that cut inbound email handling time without dropping important threads.

Build software that works offline first: sync strategies, conflict resolution, and when local-first beats the cloud.

A structured editing workflow from footage to final cut: logging, rough cuts, sound, color, and delivery templates.

A step-by-step onboarding system for agencies and freelancers: kickoff calls, deliverables, communication cadence, and expectations.

A hiring process built on structured interviews, scored rubrics, and reference checks that survive scrutiny.

A research playbook for understanding a market: interviews, surveys, competitor teardowns, and signal gathering.

REST and RPC API design patterns: naming, versioning, error handling, pagination, and developer experience.

A practical playbook for running AI agents that act autonomously instead of just planning: execution loops, approval checkpoints, permission boundaries, and review gates that keep autonomous agents productive without losing control. Built for solo operators, founders, and developers using agentic workflows.

A practical checklist for running AI agents safely: permission boundaries, blast-radius limits, human-approval gates, secret handling, and rollback plans — turn agent autonomy from a risk into a controlled process.

A practical guide to making AI agent tool calls auditable and trustworthy — provenance logs, deterministic tool-call gateways, prompt-injection risk checklists, and how to verify which tool made which call. For developers securing agent workflows.

Find and kill the AI subscriptions you don't need. Usage check, redundancy check, cost-per-task analysis, and replace-or-cut recommendations.

The complete operating system for running AI agents in production — memory, context, handoffs, cost control, and recovery. One-time purchase, instant download.

A governance framework for teams running autonomous AI: control tiers, decision rights, audit loops, and an incident runbook. One-time purchase, instant download.