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- 013 AI For Operators
013 AI For Operators
Sawyer MIddeleer - Chief of Staff at Aomni, 8 links
Hi there,
Welcome back to AI for Operators. Here’s what we’ve got for you this week:
The Operator: Sawyer Middeleer, Chief of Staff at Aomni - podcast link here
The Review: None this week
The Links: 8 links, including an overview of how Atlassian built an agentic workforce of 3,000, what the CEO of Microsoft AI thinks of human-like AI, and are agentic browsers too risky to use?
The Operator | ![]() |
Sawyer Middeleer, Chief of Staff at Aomni ![]() | ![]() |
Sawyer shares agent design principles and demos a simple N8N Gmail-tagging agent with a twist that helps eliminate hallucinations.
Advances in the last 6 months have brought reliability, better UI, and more capabilities; “level one” agents now useful.
Deterministic vs agentic litmus test: fixed A→B→C workflows need rules; exploratory or variable tasks benefit from tool-using agents.
Building agent-first tooling has its own challenges: operators must design tools for how models act, not humans.
One-screen N8N flow: new Gmail email triggers filter, fetches existing labels, forces single-label choice, then applies it.
Guardrails and alerts: high-priority emails trigger a Slack message; no auto-replies; allows him to stay out of his inbo
Modular beats monsters: small, single-purpose flows are easier to maintain and debug than sprawling “10,000-node” YouTube showpieces.
The Review | ![]() |
Skipped this week
The Links | ![]() |
Practical
Scaling AI at Atlassian: Here’s how Atlassian built 3,000 agents to work alongside its 13,000 employees.
Interface0: a tool that puts all models in one place, gives you cross-model memory, and much more - worth exploring!
Are agentic browsers too risky to use? This article explores the threat that prompt injections present for the viability of agentic browsers like Perplexity’s Comet.
Perspectives
We must build AI for people; not to be a person: a new essay from Mustafa Suleyman, CEO of Microsoft AI
How much energy does Google’s AI use? Spoiler alert: not much.
News
The MIT report that rattled the market: It said that 95% of generative AI initiatives failed to show rapid revenue acceleration. Is that the right bar? What’s more interesting: poor integration and lack of adoption seem to be the main drivers of underperformance, not the technology itself.
Are CEOs adopting AI? This article from the Times shows how some CEOs are embracing AI - and working to get their teams to adopt it, too.
What’s going on with Amazon’s AI efforts? Well, they’re still chasing AGI, for one.

Thanks for reading,
Tom Guthrie