For solo operators, consultants, and small teams

Turn recurring AI work into workflows you can trust.

If your best prompts live in chat threads and every handoff needs cleanup, you are not behind. The process just needs structure. GetPrompting helps you turn that recurring work into clear prompts, useful SOPs, review steps, and automation you can understand.

Find your starting point See proof you can inspect
Start free with the AI Workflow Starter System
Open workflow repositories Human-reviewed SOPs Practical case studies Systems before scale

Proof you can inspect

See how the work is built before you pay for help.

Michael builds and documents practical workflow systems in public. GetPrompting holds the free learning and working artifacts; MichaelStables.com holds the consulting scope, experience, and larger case studies.

View Michael's case studies Review Michael's experience
Open workflow files n8n workflows with public repositories Inspect the setup notes, requirements, and downloadable workflow files. Human-reviewed procedures Free SOPs with review and failure checks See how a repeated task becomes a process someone else can follow. Larger build examples Case studies across workflow, local AI, and delivery systems See the larger builds and the operating decisions behind them.

Find your starting point

Start with the part of the work that keeps getting messy.

Pick the closest fit and start with a free guide. You do not need to redesign everything at once to make one repeated task easier to explain, run, check, and improve.

Solo operator or creator

The task repeats, but the steps still live in my head.

Use the free SOP library to turn recurring research, content, and operations work into named steps and review checks.

Turn the task into an SOP Consultant or small team

The output changes depending on who runs the work.

Make the context, examples, boundaries, and expected output explicit so the prompt can survive a handoff.

Stabilize the prompt layer Workflow or automation owner

The workflow runs, but the handoffs still feel fragile.

Map the inputs, outputs, review owner, and failure conditions before adding more automation or another AI tool.

Map the workflow boundary

Free AI Workflow Starter System

Start with one repeated task, not a giant automation plan.

Get the workflow canvas, assistant planner, reusable prompt templates, and first automation walkthrough. The follow-up path helps you turn one real task into the next useful system before you add more tools.

Build the foundation

Four foundations for practical AI systems.

Each guide gives you a practical way to think about prompts, workflows, agents, or local AI without pretending every problem needs the same stack.

Prompt engineering

Write prompts that can become systems

Use roles, context, examples, output formats, and review rules so prompts become reusable instructions instead of lucky chats.

Explore prompt engineering AI workflows

Turn AI tools into repeatable workflows

Move from one-off AI tasks into small systems with clear inputs, review gates, useful outputs, and practical automation.

Explore AI workflows Agents

Know when an agent is the right tool

Understand the difference between bots, workflows, agents, and harnesses before adding autonomy where a simple review gate would work better.

Explore AI agents Local AI

Run useful AI locally when it makes sense

Learn how Ollama, local models, RAG, and private knowledge systems fit into practical workflows without pretending local is always better.

Explore local AI

What happens after the guide

Use the smallest next step that solves the problem.

If a free guide or library solves it, great. Stop there. When a workflow matters enough that you want a second set of eyes before spending more time or adding more tools, bring it to Michael for a focused review.

Start with inspectable free resources

Browse free AI SOPs Browse free n8n workflows

Review Service diagnostic $49

A second set of eyes, not another download.

The Workflow Review is a focused async diagnostic for a prompt chain, SOP, automation, or AI system that is unreliable or still unclear. You send the context; Michael identifies the likely failure boundary and returns a workflow map, fix list, and bounded next-step recommendation. It is not a full custom build.

See the Workflow Review

Tested tools

I review AI tools so you do not have to burn hours on the wrong stack.

Tool reviews stay useful when they answer one question: does this actually help a real workflow? I test for fit, friction, review risk, pricing, and when a tool does not belong in the stack. Some links may be affiliate links. I disclose that clearly, and the recommendation still has to make sense if you never click it.

See tested tools Submit a tool

Across the library

Discover something useful from each corner of the library.

View all guides

The GetPrompting approach

AI works better when it has a job, a boundary, and a review step.

The aim here is simple: help you turn scattered AI experiments into practical systems that make work easier to start, organize, check, and improve.

  1. 01Random AI use
  2. 02Better prompts
  3. 03Reusable assistants
  4. 04Repeatable workflows
  5. 05Automation with review gates
  6. 06Agents and local systems when they fit