AI Tools

Get a fractional specialist working inside your ChatGPT account

You already know what you want ChatGPT to do. The gap is having someone with the time and skill to build it properly, document it, and keep it running. Nacho specialists work directly inside your ChatGPT account, building custom GPTs, writing and refining prompt libraries, and connecting outputs to the rest of your workflow. This is hands-on execution, not consulting.

What we do

What our team does with ChatGPT

Concrete work our fractional specialists take on inside your ChatGPT account. No vague promises.

Build and configure custom GPTs for your specific use cases

We set up Custom GPTs inside your ChatGPT account using the GPT Builder, writing system instructions, configuring knowledge uploads, and enabling the right capabilities (web browsing, code interpreter, image generation). Each GPT is scoped to a specific job, whether that is drafting client proposals, answering internal HR questions, or generating first-draft content from a brief. You get a documented GPT with a clear purpose and tested outputs before handoff.

Write, test, and organize a structured prompt library

We develop prompt templates for your recurring tasks, test them across edge cases, and organize them into a shared reference document your whole team can use. Prompts are written with role framing, context injection, and output format instructions so results are consistent without manual tweaking each time. The library is versioned so you always know which prompt is current and why earlier versions were retired.

Audit existing GPTs and prompt workflows for quality and consistency

If you have already built custom GPTs or have a folder of prompts that have grown organically, we audit them for gaps, redundancy, and output reliability. We test each GPT against real use cases, identify where instructions are ambiguous or where the model is hallucinating, and rewrite the system prompts to tighten performance. You receive a written audit summary with specific changes made and why.

Connect ChatGPT outputs to downstream tools via API or Zapier

We build integrations that take ChatGPT-generated content and push it into the tools where it actually gets used, such as Google Docs, Notion, HubSpot, or Slack, using Zapier, Make, or the OpenAI API depending on your stack. This removes the copy-paste step between ChatGPT and your CRM, project management tool, or content calendar. Each integration is documented with a flow diagram and tested before going live.

Train your team on using custom GPTs and prompt frameworks

We create short written guides and recorded walkthroughs showing your team exactly how to use the GPTs and prompts we have built, including what inputs to provide, what to check in the output, and when to escalate to a human. This is scoped to the specific GPTs in your account, not generic ChatGPT training. The goal is adoption, not just access.

Maintain and iterate GPTs as your workflows or data change

Custom GPTs need updates when your products change, your tone guide shifts, or you add new use cases. We handle ongoing maintenance inside your account, revising system instructions, refreshing knowledge base files, and testing outputs after each change. You stay in the loop with a brief changelog after each update session.

The handoff

How the ChatGPT handoff works

During onboarding, your dedicated Client Success Manager reviews your existing ChatGPT setup, including any custom GPTs you have already built, prompt collections you are using, and the downstream tools those outputs feed into. From there, we build a Strategic Delegation Plan that prioritizes which GPTs to build or fix first and which integrations will have the most immediate impact. Your assigned specialist works directly inside your ChatGPT account (under your credentials or as an invited collaborator where the platform allows), documents every GPT configuration and prompt in a shared reference file, and gets your sign-off before any workflow goes live. You always own the account, the GPTs, and the documentation.

Use cases

Common ChatGPT workflows we build

A few of the most common workflows our team has deployed with ChatGPT.

Content brief to first draft: Notion brief input, ChatGPT custom GPT output, Google Docs delivery

A specialist builds a custom GPT trained on your brand voice and content guidelines, then connects it via Zapier so that when a brief is completed in Notion, a first draft is automatically generated and dropped into a Google Doc for editor review. This removes the manual prompt step for your content team entirely.

New client intake form, ChatGPT summary, HubSpot CRM note

When a new client submits an intake form (via Typeform or Jotform), a Zapier workflow sends the responses to a custom-built prompt, ChatGPT generates a structured client summary, and that summary is logged as a note on the corresponding HubSpot contact record. Your team opens the CRM and the context is already there.

Support ticket, ChatGPT draft response, Zendesk queue

We build a prompt template trained on your product documentation and tone guidelines, then wire it into your Zendesk workflow so that incoming tickets trigger a ChatGPT-generated draft reply. The draft lands in the ticket thread as an internal note for your support agent to review and send, cutting average first-response time without removing human judgment.

Sales call transcript, ChatGPT summary and next steps, Slack channel post

After a sales call is recorded and transcribed (via Fireflies or Otter), we route the transcript to a custom GPT that extracts key objections, agreed next steps, and deal context, then posts a formatted summary to a designated Slack channel. No one has to listen to the recording or manually update the CRM to know what happened.

Monthly report data, ChatGPT narrative draft, Google Docs delivery to stakeholders

We build a prompt workflow that takes structured data exports (from Google Analytics, QuickBooks, or your project management tool) and generates a plain-language narrative summary with highlights and flags. The draft is placed in a shared Google Doc on a recurring schedule so your leadership team gets a consistent, readable report without someone spending two hours writing it from scratch.

Talent Budget

What ChatGPT support costs

Drag the sliders to build a monthly plan that fits your workload.

Executive Assistants

~$35/hour

10 hours $350

Specialists

~$50/hour

20 hours $1,000

Fractional Executives

~$95/hour

0 hours $0

Your monthly budget

$1,350

Starting at $1,000/month. One-time $300 onboarding fee includes your Strategic Delegation Plan.

Good questions

Frequently asked questions

How does a specialist access my ChatGPT account without me giving up control of it?

The most common approach is sharing login credentials through a secure password manager like 1Password, which keeps your credentials encrypted and lets you revoke access at any time. ChatGPT does not currently support multi-user seat access on most plans, so we work with whatever secure access method you are comfortable with. You retain full ownership of the account and all custom GPTs built inside it.

Will someone maintain my custom GPTs on an ongoing basis, or is this a one-time build?

Both options exist depending on how you use your monthly hours. Some clients bring us in to build and document a set of GPTs and then manage them internally, while others keep a specialist on retainer for ongoing maintenance, prompt refinement, and new builds as their needs grow. Unused hours roll over each month, so you are not penalized for lighter months between major updates.

Is ChatGPT the right tool for what I am trying to do, or should I be using a different AI platform?

ChatGPT is a strong fit for text generation, summarization, custom GPT builds, and API-connected workflows, but it is not always the best tool for every AI use case. If your priority is document search across a large internal knowledge base, Claude or a RAG-based setup may perform better. If you need AI embedded directly inside your CRM or project management tool, native integrations in those platforms may be more practical. During onboarding, we will tell you honestly if a different tool is a better fit for your specific workflow.

How long does it take to have a working custom GPT built and tested?

A focused custom GPT with a clear scope, a well-defined system prompt, and a tested knowledge base typically takes three to six hours of specialist time to build, test, and document. More complex GPTs with multiple knowledge files, API actions, or connected integrations take longer. Your Client Success Manager will scope the work during onboarding so you know what to expect before the first hour is logged.

What if I only need help with prompts and not a full custom GPT build?

Prompt library development is one of the most common standalone requests we handle. A specialist can audit your current prompts, rewrite them for consistency and reliability, and organize them into a documented library without building any custom GPTs at all. This is billed at the standard Specialist rate of $50 per hour and can be scoped as a one-time project or an ongoing engagement.

Ready when you are

Want to put your ChatGPT setup to work?

Book a discovery call and we will audit your current ChatGPT setup, identify the highest-value GPTs and workflows to build first, and give you a clear scope before any hours are committed.