Author: Evelyn Carter
AI Research: Faster Inputs, Better Conclusions — A Reliable Prompting & Workflow Guide
A systems-first guide to building repeatable prompt engineering workflows that turn faster, higher-quality inputs into more reliable conclusions. Covers core principles, a recommended prompt structure, a step-by-step workflow, known failure modes, and concrete QA steps backed by published research and engineering guidance.
AI Writing Systems: From Draft to Publish — Reliable Prompt Engineering & Production Workflows
A practical guide to building repeatable, auditable AI writing systems that take content from draft to publish. Covers core principles, recommended prompt structure, a step-by-step production workflow, and rigorous quality-control techniques including evaluation, monitoring, and common failure modes.
Affiliate Sites with AI: What Works Now — Practical Business Models, Costs, and ROI
A practical guide for publishers and entrepreneurs who want to use AI on affiliate sites without hype. This post compares business models, gives a step-by-step execution plan, realistic cost ranges (tooling, API usage, human editing), compliance steps, risk controls, and the metrics that matter for ROI.
Prompt Ops: Managing Prompts Like Code for Reliable, Repeatable LLM Systems
A systems-first guide to Prompt Ops — treating prompts as versioned, tested, deployable code. Learn core principles, a recommended prompt structure, a step-by-step workflow, and concrete QA and failure-mode practices tied to tools and industry guidance.
Designing Reliable Prompt Packs: 50 Prompts per Role — A Repeatable Prompt Engineering Workflow
A systems-first guide to creating, validating, and operating Prompt Packs: 50 Prompts per Role. Learn a principled prompt structure, a step-by-step workflow for building role-based prompt collections, and QA processes to detect failure modes, measure repeatability, and maintain prompt quality over time.
Agentic workflows: Designing multi-step systems for reliable AI operations
Practical guide to designing agentic workflows — multi-step, tool-enabled LLM systems that prioritize reliability, repeatability, and observable QA. Learn core principles, a recommended prompt structure, a step-by-step example workflow, and concrete failure modes with QA checks to make agentic systems production-ready.
Automate Work with AI: Practical Recipes for Reliable Prompt Engineering and Workflows
A practical, systems-first guide to Automate Work with AI: Practical Recipes — methods for building reliable, repeatable prompt engineering and agent workflows, with step-by-step recipes, failure modes, and quality-control practices for production systems.
Prompt Engineering: Foundations for Reliable Results — Systems, Workflows, and QA for Production LLMs
A systems-focused guide to prompt engineering that prioritizes reliability, repeatability, and quality control. Learn core principles, a recommended prompt structure, a step-by-step PromptOps workflow, and concrete QA and failure-mode checks backed by industry guidance and tooling.
AI for E-commerce Income Streams: Practical Business Models, Costs, and ROI Roadmap
A practical guide for founders, product managers, and marketing leaders who want to build revenue from AI in e-commerce—productized services, AI-enabled products, and automation that improves ROI. Covers business models, step-by-step execution, tooling and cost ranges, regulatory traps, and the metrics you must track to validate real income.