GetPrompting Resource Stack
Tools I Use
People often ask what tools I use for prompt engineering, AI workflows, local AI, content creation, automation, and running GetPrompting.
This page is a living list of the software, platforms, and services I personally use, test, or recommend. Most of these tools appear throughout the tutorials and workflow breakdowns on this site because they are part of my actual day-to-day workflow.
I do not recommend tools because they are popular. I recommend them because they have solved a problem, saved me time, improved a workflow, or helped me learn something useful.
Choose the next step that matches the job
You do not need every tool on this page. Start with the level of support you actually need.
Learn a practical concept
Start with clear guides covering prompts, workflows, local AI, and tool decisions.
Learn through individual workflows
Import, inspect, and customize one focused n8n workflow at a time.
Plan workflow ideas in Notion
Use the AI Workflow Command Center to organize prompts, SOPs, experiments, and workflow opportunities before you build.
Run a connected content process
Use the Creator Workflow System for n8n to move one project through research, drafting, review, distribution, and archive.
Repeat AI processes with SOPs
Use the Creator SOP Pack when you want reusable review steps, publishing checks, prompt procedures, and content operations you can run by hand or later automate.
AI Tools
ChatGPT
ChatGPT is my primary AI assistant and one of the tools I use most frequently.
I use it for prompt engineering, brainstorming, research, content planning, workflow design, coding assistance, and learning new topics.
Many of the articles on GetPrompting were inspired by experiments, workflows, and lessons learned while using ChatGPT.
Best for: Prompt engineering, ideation, content creation, and workflow planning.
Ollama
Ollama makes it easy to run large language models locally on your own machine.
I use Ollama when I want more privacy, local experimentation, open-source models, offline AI access, and local AI workflow testing.
Running AI locally has helped me better understand how modern AI systems actually work beyond the web browser interface.
Best for: Local AI, privacy-focused workflows, and open-source experimentation.
Related articles:
AnythingLLM
AnythingLLM is one of my favorite tools for building AI-powered knowledge assistants.
It allows you to connect PDFs, documents, notes, knowledge bases, and local AI models to create a searchable AI assistant powered by your own information.
If you are interested in personal knowledge systems, AI memory assistants, or Retrieval-Augmented Generation, this is one of the first tools I recommend exploring.
Best for: Knowledge bases, document chat, and AI memory systems.
Related articles:
Pinokio
Pinokio is an AI app browser and launcher for discovering, installing, and running local AI tools with less manual setup.
I like it as a beginner-friendly way to test local AI apps before deciding whether they deserve a permanent place in a workflow.
It does not remove every hardware or model requirement, but it can make the first round of local AI experimentation feel much less intimidating.
Best for: Local AI app discovery, one-click-style installs, and creative AI experimentation.
Related articles:
Workflow & Automation Tools
n8n
n8n is currently my preferred workflow automation platform.
I use it to connect APIs, automate repetitive tasks, build AI workflows, process data, create research pipelines, and experiment with business automation.
One of the things I like most about n8n is that it can scale from simple personal automations to surprisingly complex systems without forcing you into expensive pricing tiers.
Best for: Automation, AI workflows, integrations, and business systems.
Make
Make is a visual automation platform I recommend when someone wants to map a workflow before they start wiring it together.
I still reach for n8n when I want deeper control, local AI options, and reusable exported workflows. Make fits a different job: visual scenarios, app-to-app automation, routers, filters, and readable business processes.
It is a strong option for creators, operators, and small teams that want to connect tools quickly while still seeing how the process moves from trigger to output.
Best for: Visual automation, creator workflows, app integrations, and business process automation.
Related articles:
Docker
Docker powers many of the local tools and services I run.
I use Docker for Ollama experiments, n8n, local databases, development environments, and self-hosted applications.
Docker helps keep projects isolated and easier to manage while reducing setup headaches.
Best for: Self-hosting, development, and local AI infrastructure.
Content Creation & Website Tools
WordPress
GetPrompting is built on WordPress.
I continue using WordPress because it provides full ownership, strong SEO capabilities, flexibility, a large plugin ecosystem, and long-term sustainability.
For creators who want control over their content and platform, WordPress remains one of the strongest options available.
Best for: Blogging, websites, digital products, and content marketing.
Blocksy
Blocksy is the WordPress theme powering GetPrompting.
After experimenting with several themes, I settled on Blocksy because it offers a strong balance between speed, customization, simplicity, and modern design without requiring dozens of additional plugins.
Best for: Lightweight and flexible WordPress websites.
Rank Math
Rank Math is the primary SEO plugin I use on GetPrompting.
I use it for on-page SEO, schema markup, content optimization, indexing support, and search visibility improvements.
No plugin can replace good content, but Rank Math helps simplify technical SEO tasks.
Best for: WordPress SEO management.
Email & Audience Building
MailerLite
MailerLite powers the GetPrompting newsletter.
I use it for newsletter delivery, subscriber management, lead magnets, email automations, and landing pages.
It offers a good balance between simplicity and functionality, which makes it a strong choice for creators and small businesses.
Best for: Email marketing and audience building.
Development Tools
Visual Studio Code
VS Code is my primary code editor.
I use it for Python, JavaScript, HTML, CSS, AI projects, automation development, and quick experiments.
Its extension ecosystem makes it incredibly flexible regardless of what you are building.
Best for: Software development and automation projects.
GitHub
GitHub is where I manage repositories, version control, and project history.
Whether I am building a small script or experimenting with a larger workflow, GitHub helps keep projects organized and recoverable.
Best for: Version control and project management.
Hardware
MacBook Pro M4 Max
My current development machine is a MacBook Pro with Apple’s M4 Max chip and 48GB of unified memory.
It handles local AI experimentation, Stable Diffusion, development work, content creation, and automation projects without requiring a separate desktop workstation.
Best for: Development, creative work, and local AI experimentation.
Workflow Systems
Creator Workflow System for n8n
This is the system I use when a content project needs more than one isolated automation. Ten coordinated n8n workflows move one project through research, strategy, drafting, review, distribution, and archive without losing the decisions made along the way. You can run it with local or cloud AI, inspect every step, and adapt it to your process.
Best for: Creators, consultants, and small teams that want a repeatable content process they can inspect and customize.
AI Workflow Command Center
The AI Workflow Command Center is my Notion template for planning and documenting prompts, SOPs, workflow ideas, and automation experiments before they disappear into another chat thread.
Creator SOP Pack
The Creator SOP Pack is the manual process library for repeatable AI work: review gates, prompt cleanup, content checks, research routines, publishing handoffs, and simple procedures you can reuse before turning anything into automation.
Best for: Creators and small teams that want clearer human-in-the-loop processes without building a full automation system first.
Hands-on tool reviews
These are practical reviews of tools I have tested through the GetPrompting lens: does the tool solve a real workflow problem, where does it fit, and what should you know before relying on it?
Crash Labs
Crash Labs stress-tests n8n workflow exports so you can spot retry problems, duplicate emails, payment risk, and unsupported nodes before a workflow goes live.
Final Thoughts
The best tool is not always the one with the most features.
It is the one that solves your problem while staying out of your way.
Every tool on this page has earned a place in my workflow because it helps me learn faster, build faster, automate repetitive work, or create better systems.
As I continue experimenting with AI, automation, prompt engineering, and local AI workflows, I will keep this page updated with the tools I actually use and recommend.
If you are just getting started, do not feel like you need everything listed here. Pick one tool, learn it well, and build from there.