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March 21, 2026. Sayon, the representative of SPARX, left with his MacBook in his bag.
While commuting by train, he gave instructions via his smartphone, and at a cafe he stopped at, he opened his laptop to perform verification tasks. He continued to manage the LP for the “AI Introduction Package (AI Pack)” that was scheduled to be released that day, even while out.
He returned to the office in the evening. By then, sparx.blog/ai-pack/ had already been published.
What the AI team was working on that day
While Sayon was out, SPARX’s AI agents continued to work in parallel.

Chacha (Operations Manager): LP implementation, SSH deployment to XServer, form connection, quality check.
Chako (Content Manager): Wrote 10 SEO articles, posted them to WordPress, generated and set up featured images.
Codex (Coding Manager): Implemented article slider and popup modal.
Gemini (Image Manager): Analyzed the content of each article and automatically generated 16:9 featured images that matched the article themes.

Listing the tasks completed in one day:

New LP page creation and live deployment (including copywriting, form implementation, PDF document connection, and image replacement)
Writing 10 SEO articles, posting to WordPress, and generating featured images
Implemented article slider + popup modal on LP
Synchronized all 100 MySpirits blog articles to Google Drive by category
Automatically detected and deleted 227 duplicate files in Google Drive and organized folders
Created and executed a script for bulk SEO optimization of all sparx.blog articles

What Sayon did was to communicate, “What kind of page should it be?” “What should the copy be?” and “What should be revised?” All other implementation, creation, posting, and verification was handled by the agents.
This is a state where “decision-makers (humans) and executors (AI) are directly connected.” With no staff in between, the distance from decision to output is extremely shortened.
“Using AI” and “Having an AI Team” are different stories.
Many people are probably already implementing text generation with ChatGPT or Gemini.
What SPARX did today is different in nature.
Each agent has a division of labor and autonomously creates deliverables while understanding the intentions of the person in charge. The team continues to operate even with instructions from outside the office. This is what it means to “have an AI team.”
If we assume that human writers, engineers, and designers would divide these tasks, today’s workload would likely correspond to 3-5 business days. Being able to complete this with half a day or a full day of direction is significant for individuals and small teams.
We provide what “we have used and made to work.”
inspireXgrowth is the AI agent system that SPARX developed for its own social media management, content creation, and site management. It exists in its current form not because it was “developed for provision,” but because “we have continued to use and improve it.”
Today’s LP production, daily automatic social media posting, and content management all operate on this system. The “AI Pack” is not a theoretical proposal, but a package of the system that is in operation today.
Do you have any of these issues?

You want to “continue” your social media or blog, but daily updates have stopped.
Outsourcing is required for every LP update or article creation, which takes time and money.
You are using ChatGPT, but you can’t effectively integrate it into your actual work.
You want to “introduce AI,” but you don’t know where to start.
You want to increase output for your small team without increasing staff.

For these issues, AI agents function not as “tools to learn how to use,” but as “mechanisms that actually drive operations.”

For example, the following usage scenarios are in practice:

Sending instructions to agents via Telegram on a smartphone automatically triggers Codex to write code in the backend, progressing the implementation of LP sites.
A simple request like “Revise the LP flow for this article” completes a series of tasks, including copy changes, HTML modifications, and server deployment.
At a fixed time every morning, social media posts, article updates, and data aggregation run on schedule, and you receive a report of the previous day’s results upon waking up.
If you want to create an LP for a new service, just send a structural memo, and the entire process from design, coding, image generation, to publication will be completed within a day.

It is understandable that it is difficult to grasp the concept of implementation with just social media posts or articles. What SPARX offers is a package that designs and implements these “actual work processes.”
We can start by discussing which tasks to begin with and how to structure them according to your company’s setup. Please review our materials or feel free to contact us for a consultation. We also offer in-person visits if you are in the Osaka vicinity.

👉 AI Introduction Package (AI Pack) Details & Free Consultation Here