We were promised autonomous AI agents. But got Workflow Automation 2.0 instead.

2025: The Year of AI Agents 😄 2026: The Year of Workflow Automation 2.0 😐

In early 2025, I was buzzing with excitement.

I built workflows in n8n that could do prospect research and send personalized emails as if they were from me. I saw the possibility of automating entire knowledge jobs with AI agents.

“2025 is the year of AI agents”, I believed it. With a 200k to 1m token context window, models can process 500+ to 2500+ pages of text. More than enough to give them any complex instruction to follow.

Fast forward to 2026. After using Claude Code with Opus 4.5 (one of the best models available) heavily for a few months, I’ve since lowered my expectations.

At 80k token context, we got poor instruction-following, hallucinations, Claude Code telling me a task is completed when it clearly isn’t.

Here’s what I’ve learned:

What DOESN’T work: Giving AI a detailed plan and a long-running task, then expecting it to finish reliably.

What ACTUALLY works:

• Break tasks into VERY SMALL sub-tasks
• Create specialized skills for how to DO each task
• Create specialized skills for how to REVIEW each task
• Create master skills with a step-by-step workflow that spawn agents to repeat do + review cycles

Each skill? Best kept within 40k tokens.

That doesn’t sound like autonomous AI agents as promised. It increasingly feels like I’m doing workflow automation 2.0.

So what’s the difference?

Workflow Automation 1.0: → Steps drawn as flowcharts → Code written to process data at each node → Structured input required → Deterministic output guaranteed

Workflow Automation 2.0: → Steps written in natural language, as skills → Data processing described in natural language, as skills → Input can be less structured → Output is non-deterministic

We’re trading determinism and accuracy for robustness and flexibility.

That’s the real state of AI right now.

Don’t get me wrong. Workflow Automation 2.0 is still very useful. It’s just that it is a far cry from “intelligence” as claimed.

I think we’ve hit the ceiling of what LLMs can do.

I am looking forward to the next release of frontier models to prove me wrong.

What do you think? Are we in the age of AI agents, or just workflow automation 2.0?