Unlocking Gen AI’s Potential with GPT Wrappers and Agents: Building a Blog Post Idea Generator

Generic Gen AI tools often fall short for marketing and communications teams due to their lack of context and precision. This demonstration shows how layering prompt engineering, lightweight knowledge bases, and use case-specific design over APIs like OpenAI’s can unlock significantly more value. By building a simple Blog Post Idea Generator, we illustrate how custom wrappers deliver tailored outputs, reduce friction, and align with real team workflows. The takeaway: applying Gen AI through focused interfaces and contextual inputs transforms it from a generic assistant into a strategic asset for content ideation, execution, and team efficiency.

June 18, 2025
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By:
Syafiq Rahman

AI Generated Summary:

  • The Challenge: Generic generative AI tools like ChatGPT often fall short for use in specialized marketing or communications tasks, requiring extensive refinement to meet specific needs.
  • The Solution: Custom layers and agents built around AI APIs and models, deliver tailored outputs by integrating specialized prompts, proprietary knowledge bases, and user-friendly interfaces.
  • Key Features: To demonstrate this, we built a GPT Wrapper that can streamline workflows for use cases like blog post development.  We used OpenAI’s API and highlight how GPT wrappers provide targeted, SEO-friendly, and audience-specific content ideas efficiently.

The Challenge of Generic Gen AI Tools

Standard Gen AI tools like ChatGPT are designed for broad use, but their generic nature often means they fall short when applied to specialized tasks. Generating blog posts that resonate with your audiences and crafting SEO-optimized content demands precision in prompts, outputs, and access to knowledge bases. Without these, the results frequently miss the mark and require significant additional effort to refine and adapt the outputs.

Even with more complex prompts, these tools often struggle to deliver content aligned to a brand or use case. This can make generic AI tools like ChatGPT cumbersome for teams with specific workflows.  On the other hand, specialized Gen AI tools and agents can enhance usability and efficiency, streamlining workflows and augmenting team effectiveness.  

To demonstrate just how effective this can be, we created a lightweight, purpose-built solution, that dramatically improves results.  AI models, when paired with domain-specific prompt design and some fine tuning, can bridge the gap between generic AI and the specific needs of real teams. That’s the approach we’ve taken at Sequencr: interfaces designed around how teams actually work, powered by models tuned for their domain.  We do this with OpenAI’s APIs, through CustomGPTs, and Copilot Agents.

Unlocking Customization – A Simple Test with a GPT Wrapper

A GPT wrapper is essentially a custom layer built around the ChatGPT API (or similar APIs), designed for a specific function. These applications go beyond ChatGPT’s general capabilities by offering:

  • Custom User Interfaces: Custom layouts that fit the workflow, such as input fields for ideas and output fields formatted for ease of usage.  Even dashboards to visualize data.
  • Specialized Prompt Engineering: Instead of a blank prompt, wrappers allow precise inputs (e.g. a blog topic) and generate outputs (e.g. blog ideas with topic sentences) in a ready-to-use format.
  • Integration of Knowledge Bases: By integrating proprietary datasets, industry standards, or internal content repositories, these tools can provide nuanced and accurate results that generic AI tools struggle with.

For marketing and communications teams, this customization demonstrates how we can achieve greater precision. Some ideas for wrappers and agents include:

  • A blog post idea generator tailored to your audience.
  • Social media content generators that match brand tone and style.
  • Email assistants that produce draft responses optimized for engagement.

By embracing the flexibility of GPT wrappers and agents, teams can move beyond the limitations of generic tools, unlocking new opportunities to innovate, personalize, and streamline their workflows.

Building a Blog Post Idea Generator: Step-by-Step

To illustrate the value of GPT wrappers, I built a Blog Post Idea Generator. After coding the Snake Game with AI in the previous article, I was eager to explore another project with tangible applications to Sequencr and our work with marketing and communications teams. This tool instantly generates blog ideas with suggested titles and topic sentences, tailored to a specific audience that we have defined. Here's how I brought it to life.

Step 1: Brainstorming with AI

Before diving into the project, I brainstormed potential GPT wrapper ideas using Cursor, a development environment that is integrated with AI. I prompted Cursor to suggest tools for marketing and communications, specifying that I wanted actionable and relevant options. The results included ideas like a social media content generator, an email assistant, and a blog post idea generator.

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First prompt with outputs within the Cursor UI

The blog post generator stood out for its simplicity and immediate applicability. By narrowing down the focus to something directly beneficial for my team, I had a clear, achievable goal for the project.

Step 2: Getting Started - The API Element

At the core of any GPT wrapper is the API, which provides far greater flexibility than standard Gen AI tools like ChatGPT. OpenAI’s API, for example, not only enables integration of its language model into custom applications, but also offers fine-tuning capabilities in some instances. This allows users to train the model on domain-specific data, resulting in outputs that are more accurate and aligned with your business needs, something we help companies with all the time.

Additionally, APIs support advanced features like control over token usage to optimize costs, and system-level parameters that allow you to adjust response behavior, such as tone and creativity. For comparison, alternatives like Anthropic’s Claude API excel in handling long-form or nuanced text generation, while Cohere’s API offers powerful text embedding for clustering and similarity tasks.

I chose OpenAI’s API for its robust documentation and versatility. Using Cursor, I generated the required Python and HTML files for my GPT Wrapper.

Step 3: Refining the Tool with Tailored Prompt Engineering

After building the initial version of the Blog Post Idea Generator, I shifted my focus to making the outputs as relevant as possible for marketing and communications teams. The key to achieving this was in crafting a tailored prompt that aligned with the specific needs of the user group.

Marketers often require ideas that are not only creative but also aligned with their goals: whether it’s driving engagement, boosting SEO, or addressing industry trends. By structuring the prompt to fit the intended users, I ensured that the output consistently met these expectations.

Here’s the exact prompt I used:

"You are a marketing and communications expert. Generate 5 blog post ideas about {topic}. For each idea, provide:

  1. A catchy title
  2. A topic sentence that summarizes the main point

Format each idea with a blank line between entries."

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Desktop Version

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Mobile version

Going Further: Adding a Knowledge Base

We can also take the tool a step further by connecting it to a lightweight knowledge base. This makes the outputs more grounded in real context, like pulling from existing blog posts, product notes, or brand guidelines, rather than relying purely on general AI knowledge.

In this case, we could take a simple approach using text files and markdown documents stored locally. With a bit of help from Cursor and OpenAI’s embedding API, we can set up a way to match user input with information from these files. That context is then included in the prompt before generating the output, which is essentially how retrieval-augmented generation (RAG) works.

It’s not a full-scale search engine, but it enables you to reference more specialized data beyond the OpenAI API defaults.

Why Customizing AI to Use Cases Driver Greater Impact

While tools like ChatGPT provide broad functionality, custom application of Gen AI, like our GPT wrapper, offer targeted solutions that integrate seamlessly into your team’s workflow. For marketing and communications professionals, this means you can use tools designed with your goals in mind, not someone else’s.

With customized application and agents, you can:

  • Tailor prompts to generate content that aligns with your brand voice.
  • Optimize user interfaces for efficiency and usability.
  • Experiment with AI capabilities to address challenges unique to your team.

Below are two specific ways custom GPT applications or agents can be expanded to incorporate advanced AI capabilities:

  • Sequential Prompting: Tools that chain multiple prompts to guide users through complex workflows, such as creating an entire content calendar or building campaign strategies from scratch.
  • Knowledge Bases: Wrappers or agents that integrate with proprietary or external knowledge sources to generate content fully aligned with brand guidelines, product details, or industry trends.

Why Functional Teams Should Experiment with Custom AI

Building a GPT wrapper, like the Blog Post Idea Generator, highlights how simple, focused tools can address specific needs and augment team workflows. While a blog generator may seem basic, its tailored outputs and seamless usability demonstrate the transformative potential of solutions designed for a particular use case. For marketing and communications teams, this specificity turns Gen AI from a generic assistant into a strategic ally, saving time and enhancing effectiveness.

The design phase of Gen AI is a unique opportunity for teams to shape solutions that truly work for them. Whether it’s a blog idea generator, a customer response assistant, or a campaign planning tool, GPT wrappers and agents are a simple, cost-effective way to deliver AI-driven impact.  

Ready to build your own? Get in touch with us! The possibilities are endless, and the results can be transformative.

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