If you’re still using AI as a tool, you’re behind. The future is agent-based systems.

Tool usage = linear productivity gain

Agent usage = exponential automation gain

If you:

• Use ChatGPT to write code → +30% speed

• Use agents to build, test, deploy, review → 3x output

That’s the shift.

AI as a Tool vs Agentic AI

🔹 Traditional AI (Tool Mode)

This is what most people use today:

• You ask ChatGPT a question

• It gives you an answer

• You copy → paste → execute

• You remain the decision-maker

It’s reactive.

You:

• Ask for code

• Fix errors manually

• Decide next step

• Deploy manually

AI = assistant

You = brain

Agentic AI (Agent-Based Systems)

Agentic AI = AI that:

• Has a goal

• Breaks it into tasks

• Decides what to do next

• Uses tools autonomously

• Remembers context

• Iterates until task is complete

AI = junior engineer + planner + executor

You = architect / supervisor

Agentic AI act autonoumsly, its combine reasoning ,memory and decision making.

It anlayzes, stratgies, act.

it reduce manual intervention, automate complex workflow.

Example : like self driving cars, autonoumous robots, AI assistants, AI power customer services.  

Example below : AI assistant Planning your entire day, book meetings, handling emails without your constant input.

What Does “From Tools to Thinking Systems” Mean?

A tool answers.

A thinking system:

• Plans

• Chooses actions

• Evaluates results

• Adjusts strategy

• Continues autonomously

It behaves more like:

• A developer

• A DevOps engineer

• A QA reviewer

• A business analyst

Not just a chatbot.

Use Case in Your World (Odoo + DevOps + ERP)

Let’s use YOUR context.

🧠 Example 1: Odoo Feature Development Agent

Goal:

“Implement Saudi Mudad WPS integration in Odoo 17.”

Instead of:

You:

• Ask ChatGPT

• Write code

• Debug

• Deploy

• Test manually

An Agentic System would:

1. Analyze module structure

2. Generate models + views

3. Run test suite

4. Fix errors automatically

5. Deploy to staging

6. Run post-deploy checks

7. Generate documentation

8. Open PR

9. Tag you for review

That’s not a tool.

That’s a system acting with intent.

AI Code Review Agent

You push code to GitHub.

Agent:

• Reads diff

• Detects anti-patterns

• Checks Odoo ORM misuse

• Flags performance issues

• Checks security (sudo misuse, record rules)

• Suggests improvements

• Generates refactored version

It becomes your permanent reviewer.

Car Showroom AI Agent

Goal:

“Increase sales in Riyadh branch.”

Agent:

• Analyzes stock

• Checks slow-moving cars

• Reviews pricing

• Suggests discount campaigns

• Creates WhatsApp campaign

• Monitors responses

• Adjusts strategy

That’s not GPT answering questions.

That’s AI acting strategically.

But There Is a Big Warning ⚠️

Agentic AI without:

• Clear boundaries

• Logging

• Audit trails

• Permission layers

• Rollback mechanisms

= Disaster.

Especially in ERP.

Imagine an AI agent:

• Deleting records

• Posting wrong journal entries

• Changing taxes

• Deploying broken code

You must treat agents like junior engineers with limited access.

Claude Code behaves like an AI agent.

But it’s a controlled, scoped engineering agent, not a fully autonomous system.

Goal → Plan → Execute → Observe → Fix → Repeat

If a system does this without you manually copying & pasting each step → it’s agentic.

So technically:

Claude Code = Engineering Agent (within IDE context)

It doesn’t:

• Wake up at night and refactor your ERP

• Monitor production metrics

• Auto-deploy without instruction

• Strategize business improvements

It executes when told.

That makes it a:

🟢 “Supervised execution agent”

Not

🔴 “Autonomous strategic agent”