ChatGPT
OpenAI's conversational AI for writing, research, and automation
Our take
Where ChatGPT fits in an AI agent stack
If you only want one AI tool in the stack, ChatGPT is still the easiest place to start. We like it most for prompt-heavy workflows, internal operations, and fast experimentation. We like it less as the long-term orchestration layer for a serious production system.
ChatGPT shows up across the directory because it lowers the activation energy. Teams can test real agent workflows without rebuilding their whole stack or training everyone on a new system first. On BuiltWithAgents, I keep seeing ChatGPT appear in workflow automation, marketing & sales, and dev tools workflows, which is usually a sign that it is earning its place in stacks that actually matter to the business.
The mistake is trying to make ChatGPT do the job of an orchestrator, a database, and a CRM all at once. It works best as the intelligence layer inside a broader workflow, not as the whole system. In other words, we would treat ChatGPT as a strong fit when the team understands what layer of the system it wants the tool to own, especially if the stack already includes tools like n8n, Make.com, and OpenAI.
Best for
- Teams that want one flexible AI tool people will actually adopt quickly
- Content, research, customer support drafts, SOP generation, and internal assistant workflows
- Operators validating an agent idea before they commit to a more specialized stack
Not ideal if
- Teams that need reliable branching logic, retries, and orchestration across many apps
- Builders who want the AI layer and the workflow layer to be the same product
- High-stakes backend automations that need stronger operational controls
Why we think builders keep coming back to ChatGPT
ChatGPT shows up across the directory because it lowers the activation energy. Teams can test real agent workflows without rebuilding their whole stack or training everyone on a new system first.
Watch-out: The mistake is trying to make ChatGPT do the job of an orchestrator, a database, and a CRM all at once. It works best as the intelligence layer inside a broader workflow, not as the whole system.
Top Strategies Using ChatGPT
SaaStr Replaced a 10 Person Sales Team With 20 AI Agents and 1.2 Humans
A sales team of 10 SDRs and AEs was replaced by 20 AI agents managed by 1.2 humans, maintaining the same business performance.
How One Real Estate Agent Grew to $400K GCI Using AI Automation Instead of Hiring
A real estate agent grew to $400K GCI by building AI systems that run the business without a full team.
Learning to Code With AI and Building a $28K Per Month SaaS Portfolio
A non developer learned to code using AI tools and built a portfolio of SaaS products generating $28K per month.
A $15K MRR SaaS Built in 12 Hours Using AI Coding Tools
A solo founder built a SaaS that hit $15K MRR with the entire MVP coded in a single 12 hour session using AI tools.
A Roadmap From Zero to $25K Per Month Selling Automation Services
A step by step roadmap showing how an automation agency scaled from zero to $25K per month selling n8n and Make.com workflows.
Building a $3,500 AI Customer Service Chatbot Live From Scratch
A full live build of a customer service chatbot with knowledge base retrieval, lead capture, and booking integration, sold for $3,500.
Where ChatGPT shows up most
Frequently Asked Questions
What does ChatGPT actually do in these AI agent stacks?
If you only want one AI tool in the stack, ChatGPT is still the easiest place to start. We like it most for prompt-heavy workflows, internal operations, and fast experimentation. We like it less as the long-term orchestration layer for a serious production system.
Who is ChatGPT best for?
Teams that want one flexible AI tool people will actually adopt quickly Content, research, customer support drafts, SOP generation, and internal assistant workflows Operators validating an agent idea before they commit to a more specialized stack
When is ChatGPT probably the wrong choice?
Teams that need reliable branching logic, retries, and orchestration across many apps Builders who want the AI layer and the workflow layer to be the same product High-stakes backend automations that need stronger operational controls
How are builders pairing ChatGPT with other tools?
Most teams here are not using ChatGPT in isolation. The most common pairings we see are n8n, Make.com, and OpenAI, which suggests builders are using it as one layer in a broader operating stack.
Is ChatGPT beginner friendly or more advanced?
The usage pattern on BuiltWithAgents leans intermediate. I would not judge the tool only by its UI; the real question is whether the workflow around it is simple or operationally complex.
What kinds of businesses are using ChatGPT?
We see ChatGPT used across sectors like Professional Services, Marketing Agencies, and Real Estate Agents. That does not mean it fits every business, but it is a good sign that the tool is surviving outside a single niche or creator bubble.
How should I evaluate whether ChatGPT is worth it for me?
I would start by reading the case studies on this page and asking a simple question: does ChatGPT solve the bottleneck, or is it just adjacent to it? If the tool is helping the workflow move faster, close more leads, save more time, or reduce operational drag, that is the signal that matters.
Example Use Cases
Internal AI copilots for ops teams
We see ChatGPT used to draft responses, summarize conversations, turn rough notes into SOPs, and help non-technical teams get leverage quickly.
Research and content workflows
It is especially strong when the workflow needs idea generation, synthesis, copy drafting, or quick iteration before a human reviews the result.
Prototype-first agent builds
For teams testing an AI-assisted service before investing in a larger stack, ChatGPT is often the fastest way to get a real workflow into the field.
Common Stack Pairings
n8n
3 shared strategies
Open-source workflow automation platform with AI agent capabilities
Make.com
3 shared strategies
Visual automation platform for connecting apps and building workflows
OpenAI
2 shared strategies
AI research company providing GPT models, APIs, and tools for building AI applications.
GoHighLevel
2 shared strategies
All-in-one CRM and marketing automation platform for agencies and local businesses. Handles pipelines, calendars, SMS, email, and workflow automation.