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.

Agent has Autonomy ,planning, iteration, feedback, coordination( like if an Agent 1 do his work and now pass it to agent 4 to do next work) etc.

Information+action=Agent

 Agentic ai has decision making and execution(via tools).

Agentic workflow

user send a query, it goes to planning agent(individual agent), the agent will have to use tool, execute action with tool, if result of action perform not ok, it will receive back to agent. if result ok the response to user. more there is possibilities there are more agents not single. 

Multi agent workflow

Classifier tell the query is code generation or testcase or planning, we can ask LLM this. then we put agent selection tool. then agent selection which will run the agent workflow. the memory important because it track which agent you selected what was the response in last history so its like conversational history or memory.

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.

Agentic workflow

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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”