For the last three years, the tech industry was obsessed with "Prompt Engineering."
We acted as if typing the exact right sequence of words into ChatGPT was a dark art. ("Act as an expert marketer. Take a deep breath. Think step by step.")
Prompt engineering is already obsolete. The new frontier is Agentic Workflows.
#What is an Agentic Workflow?
In a standard LLM interaction, the human is the orchestrator. You prompt the AI, it generates a draft, you read the draft, you tell it what to fix, it fixes it. You are the manager; the AI is the intern.
In an agentic workflow, the AI manages itself.
You give the system a high-level goal: "Research the top 10 competitors in the CRM space, write a comparative analysis report, and format it as a markdown file."
The Agentic System then:
- Plans: It writes a step-by-step plan.
- Executes: It uses a search tool to find the competitors.
- Drafts: It writes the report.
- Reflects: Crucially, it reads its own report, realizes it forgot to include pricing data for two competitors, and goes back to search for it.
- Finalizes: It delivers the finished markdown file.
#The 4 Pillars of Agency
To build an agentic workflow, the AI needs four capabilities:
#1. Reflection
The ability for an LLM to critique its own output. (e.g., "Is this code optimized? No, let me rewrite it.")
#2. Tool Use
The ability to access APIs, execute Python code, read databases, and search the web.
#3. Planning
The ability to break a massive goal into a sequential task list.
#4. Multi-Agent Collaboration
Having different AI personas argue with each other. A "Coder Agent" writes the script, and a "QA Agent" tries to break it. They iterate until the script passes all tests, and only then do they show the human.
#Why Founders Must Pay Attention
If you are building a SaaS company today that relies on a "chat interface" where the user has to constantly prompt your tool to get value, you are building for the past.
The next generation of B2B software won't be software you use. It will be software you hire. It will run asynchronously in the background, executing multi-step workflows, and only pinging you when it needs a strategic decision.
Stop teaching your team how to prompt. Start teaching them how to build agents.