Stop Building RAG. Start Building Agents. - Monday with Gazar — Issue #19
Stop writing code, start orchestrating systems—before the industry leaves you behind.
If you’re still betting on RAG as the endgame for AI, I’ve got news for you. AI will eat your lunch if you don’t start thinking about what comes next.
I realized something. RAG is reactive. It waits. You ask, it searches, it responds. That’s it. Brilliant? Yes. Thinking ahead? Taking action? Orchestrating workflows? No.
Here’s what I learned building systems in fintech: reactive answers don’t ship features. They don’t onboard customers. They don’t solve problems end-to-end.
Enter agentic workflows.
What Makes Agents Different
Agentic workflows don’t answer questions. They do things. Break down tasks. Reason about next steps. Execute actions. Learn. Iterate. Ship.
Think of RAG like a librarian. Fast. Accurate. Knows where everything lives. Now think of an agent like a research assistant who finds the books, reads them, writes the report, schedules the meeting, sends it out, follows up on feedback. Coordinates with other assistants. Makes sure nothing falls through cracks.
That’s the difference. Action versus answer.
Why 2026 Changes Everything
I’ve been watching this space. Building prototypes at Digitwin Lab. Testing ideas in BetterBoard. Here’s what I see happening.
Multi-agent orchestration is getting real. We’re past single agents doing single tasks. Now we have networks. Specialized agents. They collaborate. They negotiate. They hand off work. This isn’t theory anymore.
Tool use is standard now. LLMs don’t just generate text. They call APIs. They manipulate databases. They send emails. They create files. They interact with the world in actual ways. I use Commandly for productivity workflows, and the agents there? They’re already doing things, not just suggesting things.
Memory is getting better. Long-term context. State management across sessions. Learning from past interactions. Agents remember. They adapt. They improve.
Costs are dropping. Latency is falling. What felt expensive last year feels cheap now. Running multi-step workflows? Economically viable. Mainstream ready.
Safety frameworks exist. We can audit. We can control. We can fail gracefully. This isn’t the wild west anymore.
All of this? Coming together in 2026. That’s when it clicks.
The Shift That Matters
RAG optimized for retrieval. Agents optimize for outcomes.
Instead of “What documents mention customer onboarding?”, you’re asking “Onboard this customer.” The agent figures it out. What documents it needs. What tools to use. What actions to take. When to loop you in.
This isn’t an upgrade. It’s a shift. We’re moving from AI as tool to AI as teammate. From AI that knows things to AI that does things.
I built MicroFrontEnds at Mecca Brands. I scaled systems at Sportsbet. I learned this lesson: tools get used. Teammates get trusted. That’s the difference.
What Actually Changes
By 2026, agentic workflows will power real things.
