In partnership with
🔈 Unlocking the AI Advantage with Ramesh Dontha
Agentic AI Special
Something satisfying happened this week.
We've been talking about AI agents for months what they could do, how they might work, when they'd actually be useful.
This week, they showed up.
GPT-5.5 doesn't wait for your next prompt anymore. It takes a goal, breaks it into steps, writes the code, hits a wall, debugs itself, and keeps going. For hours.
And Kimi K2.6 did something nobody expected. We'll get to that.
—Team Unlocking the AI advantage
Watch the full breakdown (Episode 60)
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The best prompt engineers aren't typing. They're talking.
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❓This episode will make you rethink a few things
You've been prompting AI. Typing instructions. Waiting for output. Copying, pasting, adjusting, repeating.
What if that whole workflow is already outdated?
In this episode, we walk through what happens when AI stops responding and starts executing and what that means if you're building a product, running a team, or trying to figure out where you fit in all of this.
One question we keep coming back to: if Kimi K2.6 can spin up 300 sub-agents to divide a single task... what's your team of five actually competing against?
We don't answer all of these. But after listening, you'll know which ones matter most for your business.
Core tension:
AI used to wait for instructions.
Now it decides how to act.
⚡Five shifts we break down in this episode
This wave of agentic AI reveals five major shifts already underway:
🔹 From Prompts to Goals
You used to type step-by-step instructions. Now you describe what you want done. The AI figures out the how.
🔹 Long-Running Execution
These aren't quick responses anymore. GPT-5.5 can work on a task for hours maintaining context the entire time. That changes what you can hand off.
🔹 Multi-Agent Coordination
Kimi K2.6 doesn't do one thing at a time. It spins up hundreds of sub-agents that work in parallel. Think of it as an AI that delegates to other AIs.
🔹 Self-Improving Workflows
The model writes code. Tests it. Finds the bug. Rewrites it. No human in the loop. This is the part that made us pause during recording.
🔹 Research engines, not chatbots
Gemini 3.1 Pro isn't answering questions anymore. It's conducting deep investigations pulling sources, cross-referencing, building reports. The chatbot era feels like a warmup.
Your next great hire lives in Slack.
Viktor is an AI coworker that connects to your tools and ships real work. Ask Viktor to pull a report, build a client dashboard, or source 200 leads matching your ICP. Most teams hand over half their ops within a week.
🎙️ In this episode
[00:00] Introduction
[01:22] How GPT-5.5 writes, debugs, and researches autonomously
[03:41] Moonshot AI’s Kimi K2.6 and its 300 sub-agents
[05:27] Gemini 3.1 Pro as a deep research engine
[06:40] Free AI agent courses and how to get started
[09:51] Healthcare signal: 14M Americans turning to AI over doctors
🤝 One thing to take away
AI didn't just get smarter this week. It started finishing tasks on its own.
If you're still using AI one prompt at a time, this episode might change that.
👉 Know a builder who needs to hear this? Forward this email. That's how we grow — one founder at a time.
