Calling Current LLM Wrappers “Agents” is Like Calling Excel Macros a Programming Language Revolution

Written for pirates who do not buy bullshit

Tl; DR

The recent wave of white papers and LinkedIn publications is the recent Not a technical breakthroughBut a stroke. These documents are not plans. They are Business image management pdf disguised as innovation.

What is marketed as “agentic orchestration” is often fair Llms in a loopWith a zero state, zero autonomy and zero guarantees. PwC's so-called “executive game book” is an excellent example of this trend.

What they claim

“The agentic AI allows multimodal orchestration, autonomy, reasoning focused on objectives and commercial transformation in all sectors.”

Fashionable words salad? Yes. Let's decompose it.

Supposed capacities:

• Autonomy
• Multimodal interaction
• Behavior led by objectives
• Workflow orchestration
• Learning and adaptation
• Inter-agent collaboration

It looks like AG, right? But…

What they really show

Not a single architecture. Not a single flow diagram. Not a single open source agent system with memory, intention and long -term state.

All they have is:

• Descriptions of existing ML systems (predictive maintenance of Siemens, Amazon recommendations, JPMorgan NLP Doc analysis)
• Vaguely repackagement as “agentic”
• No evaluation measure
• No reference datasets
• No reproducibility

Technical proof:

Each case study in the document – from Siemens to Netflix – relies on:

• Traditional supervised learning
• Perhaps a little cloth (increased generation of recovery)
• No real agentic autonomy or execution planning
• No real-time lens reasoning or meta-level adaptation

Agent = wrapper around GPT

If you have used:

• Autogpt
• Baby
• Tongue
• Autogenous
• Crew

So you know: they are all execution loops With GPT calls, function triggers and a JSON context, they are not intelligent. They are brittle and static.

None of these tools support:

• Episodic memory
• Objective negotiation
• Dynamic delegation of cross agent
• Adaptive planning with unknown entries

Why it happened

It's just Instagram moment of AI – Instead of selfies, we now publish PDF with arrow diagrams pointing the word “agent”.

Business incentives:

• The boards must show that they are not late at AI.
• Managers need deliverables that look like a “strategy”.
• Consultants must sell processing services.

Enter: 40-page pdf with sentences like “from Copilot to Autopilot” and “Service-As-Aftware”.

REALITY

“Aiatic Ai” in 2024 =

for (const step of task) {
  const reply = await gpt(prompt + history);
  if (reply.includes('search')) callSearchAPI();
}

That's it. He's the agent.

Which must exist (but not yet)

A real agentic system would require:

• Memory: Episodic, semantic, vectorized
• Planning: Decomposition of the abstract objective and replans
• Meta-seasoning: Know when you fail
• Action space: Control APIs, tools, services
• Back: Environmental detection, consequences
• Autonomy: Operate without script or user babysitting

None of this is present in an “agentic AI” publicly marketed.

Conclusion

Calling the current “agents” LLM is like calling Excel Macros a revolution in programming language.

Real agents are always a R&D dream. What you see about LinkedIn is cosplay marketing.

The pirates are wary: Do not fall into the industrial .pdf complex.

Prime

If he has no memory, planning or an independent action space – He's not an agent. It is an prompt with the lipstick.