AI,Agents,Rewire,Office,Work

● AI Agents Strike Deal That Rewires Office Work

The fact that autonomous AI agent “Hermes” has become easier to use means office workers’ way of working is truly changing

This time, the core point is not simply that “a new AI tool has been released.”

What this means is that generative AI, which used to only answer questions like ChatGPT, is now shifting into an “execution-style AI assistant” that can read files, write text, create images, and handle tasks up to the point just before scheduled publishing.

In particular, Hermes has become easy enough for non-developers to download an installer and use right away, and it is accelerating workflow automation significantly by making Telegram remote control, repetitive task scheduling, and collaboration among multiple AI agents possible.

Even more important is that Hermes remembers user feedback and gradually evolves into “an AI assistant tailored to my work” by improving work manuals on its own.

This is a fairly big change connected not only to individual productivity innovation, but also to corporate digital transformation, global economic outlook, and AI infrastructure investment trends.

1. The core shift from chatbot to AI agent

Existing AI chatbots like ChatGPT, Gemini, and Claude were basically built around answering questions.

When a user entered material and asked, “Summarize this,” “Organize this into writing,” or “Give me ideas,” they produced answers.

But AI agents go one step further.

Instead of only responding, they actually access the user’s folders, read files, organize content, create the necessary documents, and execute repetitive tasks.

A chatbot is an AI that helps by talking.
Codex or Claude Code are AIs that actually handle files, code, and document work.
Hermes is closer to an autonomous AI agent with repetitive work, self-learning, and multi-bot collaboration structures added on top.

Simply put, a chatbot is a “responding employee,” Codex and Claude Code are “employees who can get work done,” and Hermes is closer to a “chief of staff who remembers the workflow and even builds a team.”

2. What makes Hermes different from Codex and Claude Code

Codex and Claude Code already have powerful agent functions.

If you specify a folder, they can read the files in it, edit code, and create reports or documents.

But there are also inconveniences that ordinary users feel.

For each task, you often have to create a new folder, make instruction files, update skills, and repeatedly set everything up.

By contrast, Hermes’ biggest difference is “self-improvement.”

Even if the user does not constantly say, “Save this to the skill file,” it learns the user’s work style through conversation and feedback.

For example, if a user repeatedly gives feedback to emphasize sources when writing articles, include implications from the AI and AX perspectives, and add FAQs, Hermes remembers that pattern.

Later, when similar work is requested, it produces results that fit the user’s style better than before.

Codex and Claude Code perform stably only when the user builds a good work manual.
Hermes gradually improves the work manual during the conversation process.
Users do not need to create a perfect prompt from the beginning.
If you keep assigning work and giving feedback, the AI assistant gradually learns the workflow.

This is a very important shift in the AI agent market.

Going forward, the competitiveness of generative AI is likely to shift away from simple model performance toward “how well it remembers and improves my work.”

3. Installation difficulty has dropped significantly

In the past, installing an autonomous AI agent like Hermes required steps such as a terminal, server, API key, and environment setup.

From the perspective of a non-developer office worker, this created a high barrier to entry right from the start.

But recently, with the release of a desktop version, accessibility has improved dramatically.

You can download installation files for Mac, Windows, and Linux.
You can install and use it like a regular program.
You can test it directly on your local PC without complicated initial setup.
If connected to Telegram, you can issue commands remotely from mobile as well.

This change is quite significant.

It means AI agents are moving down from developer-only tools to automation tools for ordinary office workers.

This trend could accelerate the pace of corporate digital transformation.

4. How Hermes is actually used

Hermes is easy to understand if you think of it broadly as a session and bot structure.

A session is a space where conversation history accumulates, like in ChatGPT.
A bot is an independent AI agent responsible for a specific task.
The main bot acts like a chief of staff who understands the user best.
Sub-bots handle specific tasks such as news, content, lectures, and research.

For example, if a user wants to automate content work, they first give several tasks to the main bot.

They repeatedly ask it to summarize news, create LinkedIn posts, generate blog HTML, and write Instagram card-news copy.

Once the workflow stabilizes to a certain level, Hermes may decide that “this task can be separated into an independent bot.”

The resulting bot then becomes a dedicated AI assistant that repeats a specific task every day.

5. A news content automation case

The most realistic example introduced in the video is AI and AX news content automation.

Hermes checks official sites and major sources related to OpenAI, Google, and Claude every morning.

From there, it selects issues that are meaningful from an AI and AX perspective.

Then it produces blog posts, LinkedIn summaries, card-news copy, hashtags, and FAQs.

Searching news sources
Selecting important articles
Writing core summaries
Organizing implications from the AI and AX perspectives
Generating HTML for blogs
Writing LinkedIn posts
Suggesting card-news copy and image direction
Organizing FAQs and tags

Previously, a person had to find the news, organize the material, put it back into ChatGPT, convert it to HTML, and separately create images.

Using Hermes automates this process almost up to the point just before publishing.

However, important content still needs a human final review.

In particular, for channels where brand trust matters, such as corporate blogs or newsletters, the “AI draft + human approval” approach is safer than fully automated publishing.

6. The point that remote control via Telegram is possible

Hermes can be used in connection with Telegram.

If the laptop is on, you can send commands from Telegram without opening the desktop app.

Users can also make requests from outside, such as “Summarize today’s news,” “Create a blog draft,” or “Recommend card-news titles again.”

This feature is highly practical from an office worker’s perspective.

That’s because you can assign work to the AI assistant on the commute to work, while moving around, or before and after meetings using a mobile messenger.

Workflow automation is no longer limited to the office desk; it is expanding into a messenger-based workflow structure.

7. How multiple AI agents collaborate

Another feature of Hermes is that multiple bots can collaborate.

For example, let’s imagine creating an AI news production room.

There can be one chief agent, with sub-agents in charge of research, insights, writing, and review below it.

The chief agent directs the overall work.
The research agent finds materials.
The insights agent interprets meaning.
The content agent creates the text and card-news copy.
The review agent checks quality and standards.

Users can group these agents together like a group chat and let them communicate with one another.

This is not just a fun feature; it has significance from a workflow design perspective.

You can confirm what role each agent performs, and when the output is unsatisfactory, you can check at which stage the quality problem occurred.

Going forward, corporate AI adoption is likely to shift toward this kind of multi-agent workflow structure rather than simply adopting a single chatbot.

This is a direction in which generative AI goes beyond being a simple productivity tool and changes the organization’s operating style itself.

8. Repetitive tasks can be scheduled with cron jobs

In Hermes, repetitive tasks can be run at specific times through cron jobs.

In simple terms, this is scheduled automation.

You can have it collect AI news, summarize it, and create content drafts every day at 10 a.m.

Generating a morning news briefing every day
Writing weekly report drafts
Generating regular content plans
Summarizing customer feedback
Organizing meeting notes and writing follow-up task lists

This feature can have a bigger impact in companies than for individuals.

That’s because repetitive research, reporting, content, and monitoring tasks can be assigned to AI agents, while people focus on judgment and approval.

9. Free models and local models can also be used

Hermes itself can be used for free based on open-source foundations.

You can also connect free models or local LLMs to it.

It was mentioned that tools like Ollama can be used to run models on a local PC, and that models such as Upstage’s Solar can also be utilized.

Of course, if the PC’s performance is low, it is difficult to run large models.

So at first, it is realistic to test with free or lightweight models, and connect high-performance models like GPT, Claude, or Gemini for important tasks.

It is also possible to attach different models to each bot.

For example, a writing bot can use a GPT series model, an analysis bot can use a Claude series model, and a fast summarization bot can use a free model.

This kind of model routing is also connected to future AI cost optimization.

For companies, it is cost-efficient to use different models according to task difficulty rather than using an expensive model for every task.

10. A more important change from the corporate perspective

This trend should not be seen merely as the development of a personal productivity tool.

The fact that AI agents have become easier to use means that a company’s workflow structure can change.

In the past, building RPA or automation systems required a development team, an outsourcing company, and consulting costs.

But now the era is arriving in which people on the ground can directly break down their own work and hand parts of it over to AI agents.

Marketing teams can automate content creation and draft distribution.
HR teams can automate job postings, applicant summaries, and training material drafts.
Sales teams can automate customer meeting records and proposal drafts.
Strategy teams can automate market news, competitor trends, and global economic outlook reports.
Development teams can automate code review and documentation.

The core point here is not that AI does everything instead of humans.

The direction is that AI handles repetitive and structurally manageable work, while humans focus on planning, judgment, review, and decision-making.

If this change becomes widespread, the pace of corporate productivity innovation could accelerate more than expected.

11. The real core point that is not emphasized much in other news or YouTube

Many pieces of content focus on “Hermes installation has become easier,” “It can be used for free,” and “It works with Telegram.”

But the most important point is separate from that.

The real core point is that the ability to use AI agents well is essentially the ability to break down work.

No matter how good Hermes is, if the user does not understand their own workflow, it is hard to get good results.

You need to design which tasks to assign to AI, at which stage humans should approve, what output format to maintain, and by what standards quality should be evaluated.

Going forward, the important skill will not be writing pretty prompts.

It will be the ability to divide your work into task units, assign roles to AI agents, and review the output.

The ability to define tasks to hand over to AI
The ability to break work into finer steps
The ability to design sub-agent roles
The ability to decide where human intervention is needed
The ability to improve AI output through feedback

This capability is likely to create the AI usage gap among office workers in the future.

Even when using the same AI tool, some people will only ask for simple summaries, while others will automate their entire work system.

In the end, competitiveness in the AI era will belong not to the person who knows the tool, but to the person who can redesign their own work into a structure that AI can perform.

12. There are also clear cautions

Just because Hermes has become easier does not mean that every task should be automated unconditionally.

In particular, when applying it to company work, security and data management are important.

Sensitive customer information or internal documents should not be carelessly connected to external models.
Automatic publishing features should always include a human approval step for safety.
News or analysis created by AI requires source verification.
If repetitive tasks are configured incorrectly, wrong outputs can keep accumulating.
If you create too many bots, the management burden can actually increase.

Especially in companies, what matters is not “we created many agents.”

What matters is creating agents that produce real results within a manageable scope.

The same goes for individuals.

Rather than creating multiple bots from the start, it is better to have enough conversation with one main bot and teach it your workflow style.

13. Work examples office workers can try right away

If you are using Hermes for the first time, it is better to start with repetitive tasks that have clear output formats rather than complex ones.

Daily morning industry news summaries
Blog post draft writing
LinkedIn post conversion
Meeting note summaries and action item organization
Lecture material draft structuring
Report outline design
Competitor trend monitoring
Weekly work review writing

Rather than aiming for full automation from the beginning, it is better to start with a structure where “AI creates the draft and I review it.”

This way, you can reduce quality risk while quickly increasing productivity.

14. Its meaning from the perspective of the economy and AI trends

The fact that autonomous AI agents have become easier means that the next growth axis of the AI industry is shifting from model competition to workflow execution competition.

Until now, the key question was who built the smarter model.

Going forward, it is highly likely that what matters more will be how stably that model handles real corporate work.

This change could affect AI infrastructure investment, the software market, corporate productivity, and even labor market structures.

It is especially meaningful for small and medium-sized businesses and one-person companies.

That’s because AI agents can partially replace content, research, reporting, and marketing automation tasks that previously required hiring staff or outsourcing.

However, rather than saying all jobs will disappear, roles are more likely to be restructured first in positions with a high share of repetitive work.

People who use AI well may handle more work, while those who do not use AI may see a widening gap in the amount of work they can complete in the same amount of time.

< Summary >

Hermes is an autonomous AI agent that performs real work beyond a response-based chatbot.

It has become easy enough to use by simply downloading an installer, and it also supports Telegram remote control and repetitive task scheduling.

Its biggest differentiator is the self-improvement function that remembers user feedback and improves its workflow on its own.

It can be used for a wide range of automation tasks, including news collection, blog writing, LinkedIn posts, card-news content, lecture materials, and report drafts.

The real core point is not the tool itself, but the ability to break down and design your work so that AI agents can perform it.

Corporate digital transformation and personal productivity innovation are highly likely to accelerate further around this multi-AI-agent structure in the future.

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*Source: [ 티타임즈TV ]

– 자율형 AI에이전트 너무 쉬워졌다. 설치파일 받고 바로 시작 (김민정 HRX랩 부대표)

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