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nextagent.dev

The Next Generation of AI Agents for Business

The Next Generation of AI Agents for BusinessThe Next Generation of AI Agents for BusinessThe Next Generation of AI Agents for Business

Deploy your first production-ready agent in 6–8 weeks.

Learn More

NextAgent

The Next Generation of AI Agents for Business

The Next Generation of AI Agents for BusinessThe Next Generation of AI Agents for BusinessThe Next Generation of AI Agents for Business

Deploy your first production-ready agent in 6–8 weeks.

Learn More

NextAgent

From Idea to Agent: Building SuiteGPT

How We Built SuiteGPT

Built with NextAgent’s Tech Stack

Built with NextAgent’s Tech Stack

SuiteGPT started as an ambitious idea: bring natural-language automation directly into ERP systems like NetSuite. 


Together, these components allowed us to ship a working MVP that could:


  • Generate SuiteScript code from user prompts
  • Mock-deploy into NetSuite workflows
  • Provide real-time logs, monitoring, and testing


What we solved for:


  • Speed: instantly generating SuiteScripts from plain English
  • Reliability: mock deployment pipelines for safe testing
  • Scalability: integrations with real-world enterprise tools
  • Compliance: HIPAA and SOX-ready design

Built with NextAgent’s Tech Stack

Built with NextAgent’s Tech Stack

Built with NextAgent’s Tech Stack

  • AI Layer: OpenAI + CrewAI for orchestration
  • LLM Caching & Memory: Redis LangCache for semantic caching
  • Frontend: React + Tailwind for a fast, intuitive UI
  • Backend: Node.js + Express for scalable APIs
  • Database: MongoDB for structured automation history


From Idea to Agent: Building AIOListing

How We Built AIOListing

Built with NextAgent’s Tech Stack

Built with NextAgent’s Tech Stack

AIOListing started with a simple idea: optimize product listings for the AI-driven shopping era.
As conversational commerce emerged, brands struggled to keep product data fresh, accurate, and discoverable by AI agents and large language models (LLMs). We built AIOListing to solve that.


The MVP allowed eCommerce teams to:


  • Optimize product titles, bullets, and attributes so AI agents and LLMs can understand them
  • Ingest CSV product catalogs and auto-generate improved metadata
  • Track real-time changes in CTR, CVR, and ranking
  • Provide AI-assisted debugging for listings at scale


What we solved for:


  • Conversion — measurable CTR/CVR lift with optimized content
  • Scale — bulk CSV ingestion and automation for thousands of SKUs
  • Freshness — continuous AI-powered updates to keep listings relevant
  • Compatibility — designed for LLM-based shopping experiences across Shopify, Amazon, and future AI-first marketplaces

Built with NextAgent’s Tech Stack

Built with NextAgent’s Tech Stack

Built with NextAgent’s Tech Stack

  • AI Agents Layer: Orchestrated with CrewAI + OpenAI for content generation and reasoning
  • LLM Caching & Memory: Redis LangCache for efficient semantic storage and reduced API costs
  • Frontend: React + Polaris + Tailwind for a Shopify-native UX
  • Backend: Node.js + Express for catalog processing APIs
  • Database: MongoDB for catalog versions and optimization history


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NextAgent

23 West Way, Lake Elsinore, CA 92530, USA

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