From Chat to Action: The New Gen AI Revolution

Méoc


Artificial intelligence has already impressed us with its ability to generate text, answer questions, translate, code, and summarize. But all of that… remained passive.

Today, AI is taking a new leap. It moves into action.

It no longer just talks to you. It can do:

  • publish an article,
  • send an email,
  • schedule a meeting,
  • even run an entire blog.

And that changes everything.

Real-world examples of AI in action

When I talk about generative AI that acts, I am not talking about just producing text or images. I'm talking about executing concrete, autonomous, targeted tasks.

Here are a few examples from the field:

1. Fully automated blogging (personal case)

An AI agent can:

  • Generate a blog post from an idea.
  • Publish it on a platform like Blogger.
  • Create a cover image or visual summary.
  • Share it automatically on social media.
  • Update a tracking sheet or project management board.

This isn’t a dream. I already have it running, and I’ll share the how-to in upcoming posts with the lessons learned.

2. Salesforce – AI agents to boost sales

Salesforce equipped its sales teams with AI agents like Sales Coach that:

  • Provide real-time sales advice or negotiation scripts.
  • Automatically generate call summaries.
  • Update the CRM after every interaction.
  • Prepare meetings with context-aware client summaries.

Source: businessinsider.com

3. Appian – Automating insurance claims processing

Appian integrated a generative AI that:

  • Analyzes claims documents automatically.
  • Drafts initial response proposals.
  • Prioritizes cases.
  • Triggers internal workflows based on context.

Source: appian.com

Two key technologies driving the shift: AI Agents and MCP

AI agents: the brains that act

AI agents aren’t just passive responders. They make decisions and take actions.

They can:

  • Plan sequences of tasks,
  • Choose the right tool or service to use,
  • Evaluate results and adjust.

Frameworks like AutoGPT, CrewAI, or ChatDev reflect this evolution: AI is becoming operational, yet not uncontrolled.

The Model Context Protocol (MCP): the gateway to action

But to act, AI needs an interface – a way to connect with tools.

That’s where the Model Context Protocol, or MCP, comes in.

Introduced by Anthropic in November 2024, MCP is a standardized protocol that allows AI to interact with “action servers.” These servers can send a tweet, post a blog, create a calendar event – anything exposed via an API.

There are two types of MCP servers:

  • Local, like in Claude Desktop – effective but restricted to a single machine.
  • Remote (REST + SSE), which can be accessed from anywhere, enabling cloud and mobile usage.

The best part? It’s already usable

1. Building your own MCP server is easy

If you already have an API, you're 80% there. Using tools like Cline, I built an MCP server to publish WordPress posts in under an hour.

AI models can even help generate the server code.

2. Many services are already compatible

Vendors like Composio offer large libraries of ready-to-use MCP servers.

And more:

Zapier and Make, the kings of no-code automation, now expose their connectors via MCP.

So anything you used to automate in Zapier, you can now trigger via AI – and with much more intelligence.

Some ready-to-use actions:

  • Send personalized emails
  • Post on LinkedIn, X, Mastodon
  • Read and update a Google Sheet
  • Create tasks in Notion or Trello
  • Publish blog posts
  • Connect to CRMs, cloud services, databases

In short: AI meets the web’s full stack of tools.

So what’s next? Plugging in the AI…

On my side, I already set things in motion. My AI agents can:

  • Write a blog article,
  • Publish it automatically on Blogger,
  • Create an image to illustrate or summarize it,
  • Share it on social media,
  • Update a tracking spreadsheet

And this is only the beginning.

In future articles, I’ll explain how I built all of this: which tools, which hacks, and what I’ve learned.

What about you – what have you built on your side? Personal, professional, experimental – I’d love to hear how your AI is taking action.

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