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The Steady Beat - Issue 25.11.4

AI agent of the week, rebuilding trust through authentic leadership, how to obsess over details, vibing meets strategy, and less is more AI.

November 28th, 2025

by Henry Poydar

in Newsletter

You’re reading The Steady Beat, a weekly pulse of must-reads for anyone orchestrating teams, people, and work across the modern digital workplace – whether you’re managing sprints, driving roadmaps, leading departments, or just making sure the right work gets done. Curated by the team at Steady.


Echo of the Week: Team Capacity

Echoes are AI agents in Steady that automatically gather and deliver work context to teams on a schedule – answering recurring questions about what’s happening and what’s next so you stop burning hours assembling the same information manually.

You’re three weeks into a sprint when you discover your lead engineer scheduled PTO for the week before launch. Sound familiar? Most teams don’t discover absence conflicts until they’re already underwater because time-off requests scatter across different systems and memories fade. The Team Capacity Echo runs monthly and compiles all upcoming absences for the next 30 days, organized by week, so you can plan work around actual availability instead of optimistic assumptions. Project managers stop overcommitting sprints. Team leads get real visibility into working capacity. People managers can coordinate coverage gaps before they become incidents. It’s the difference between reactive firefighting and proactive coordination – and it takes exactly zero minutes of your time because the Echo does it automatically.

Run this Echo in Steady


Trust Deficit

After waves of layoffs and organizational chaos, tech teams are running on empty trust, and the damage compounds in predictable ways. When trust collapses, collaboration shrinks, people hoard information for self-preservation, and your best engineers start interviewing elsewhere. Subbu Allamaraju cuts through the leadership hand-wringing to remind us that cynicism isn’t a character flaw, it’s a rational response to instability – and it spreads systematically through organizations like a cascading failure. The solution isn’t waiting for executives to fix it or hoping people “just get over it.” It’s frontline leaders taking ownership of rebuilding trust one authentic interaction at a time. That means unscripted listening tours where you actually hear what’s broken, transparent communication that ditches the corporate speak, and co-developing solutions with your team instead of handing down edicts from above. The hardest part? Accepting that even if you didn’t cause the trust deficit, you’re responsible for addressing it. Authenticity requires courage and vulnerability – admitting what you don’t know, acknowledging uncomfortable truths, and inviting your team into problem-solving mode. You can’t delegate this work to HR or wait for the next all-hands to magically restore morale. Trust rebuilds through consistent actions, not inspiring speeches. Start today by asking one genuine question and actually listening to the answer.

Subbu Allamaraju, 4m, #leadership, #trust, #management

Details

Every leadership book tells you to delegate, stay strategic, and get out of the weeds. Harvard Business Review just called that conventional wisdom into question with hard data. The world’s most consistently successful companies – Amazon, Toyota, Danaher – don’t win because their CEOs stay at 30,000 feet. They win because their leaders actively shape daily work processes while simultaneously building systems that empower everyone else to make decisions. This isn’t micromanagement disguised as engagement; it’s something entirely different. These leaders act as teachers and system builders who model standards, sharpen problem-solving, and establish behavioral norms that create autonomy rather than destroy it. Jeff Bezos famously obsessed over customer-facing details not to control every decision, but to hardwire customer obsession into Amazon’s DNA. Toyota’s legendary production system doesn’t work because executives mandate it from conference rooms – it works because leaders spend time on factory floors teaching problem-solving methods until continuous improvement becomes reflexive. The research reveals five principles: obsess over customer value metrics, architect work processes that distribute authority, make decisions through experimentation not hierarchy, build teaching systems that transfer knowledge at scale, and practice relentless daily improvement instead of waiting for transformation initiatives. Your team doesn’t resent you being in the details. They resent you being in the details without adding value. Know the difference.

Harvard Business Review, 12m, #leadership, #systems, #management

Architecture Redux

The vibe coder era is ending before most people realize it started. AI can generate functional code in seconds – React components, API integrations, entire CRUD flows – and for newer developers, prompting has become the only workflow they know. The problem? Code written at the speed of thought ages like milk. What ships today as a magical prototype becomes tomorrow’s unmaintainable mess because nobody designed the system it lives in. Craig Adam’s sharp analysis reveals the pendulum swinging again: not back to waterfall’s documentation hell, but toward intentional architecture that matters more than ever precisely because machines are doing the typing. The future-proof developer isn’t the one who writes the most code, it’s the one who designs the best frameworks for code to live in. Instead of asking “how do I implement this endpoint?” you’re asking “what’s the cleanest contract for this part of the system?” Instead of fixing bugs, you’re building constraints that prevent entire classes of bugs through structure. Here’s the uncomfortable truth: you’re no longer writing for the next junior developer. You’re writing for an AI that will generate 500 lines in seconds but only if your patterns, naming, and abstractions teach it what “right” looks like. Your codebase has become training data. Every sloppy pattern gets multiplied. Every tight boundary gets respected. The smartest person in the room isn’t solving the most problems anymore, they’re preventing problems from happening by encoding judgment into systems that scale beyond individual effort. Ship fast, but ship smart.

Craig Adam, 9m, #engineering, #ai, #architecture

Slow the AI Roll

Here’s the delicious irony: the people who understand AI best are the ones refusing to let it do their busywork. A machine-learning engineer who manually drafts every email. An AI research intern at Microsoft who takes typewritten meeting notes instead of using automatic transcription. A marketing consultant who teaches clients about AI automation but sketches his presentations on physical paper. These aren’t Luddites or technophobes – they’re people immersed in artificial intelligence who have developed surprisingly old-fashioned habits precisely because they know what the technology can and can’t do. The machine-learning engineer doesn’t trust AI to draft emails because “no one knows what I want to say better than I do.” The Microsoft intern takes manual notes to stay in control and model structured work habits. The consultant does his best thinking with pen and paper before going digital. McKinsey estimates existing technology could perform 57% of Americans’ work hours, but here’s the question nobody’s asking: what shouldn’t it do? As companies redesign work around AI, smart leaders might deliberately hold back some automation to train junior employees in foundational skills and ensure people are savvy enough to check the bots’ output. On an individual level, people may choose occasional busywork to give their brains a break or maintain practices that signal attention and care to others. The lesson isn’t that everyone needs to dust off their Moleskine notebooks. It’s that if AI power users are this discerning about what’s worth automating, the rest of us could learn from their selectivity. AI is a hammer – that doesn’t mean everything is a nail.

Wall Street Journal, 6m, #ai, #productivity, #leadership


Stop Drowning in “Work About Work”

Your team loses 21 hours per person, per week slogging through status meetings and hunting for context across chats, docs, and dashboards.

Steady’s AI agents eliminate this coordination tax by continuously delivering personalized guidance on what’s happening, what’s next, and what needs attention across the whole team.

Join the thousands of teams staying in sync, avoiding burnout, and moving 3X faster with Steady.

Learn more at runsteady.com.

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A weekly pulse of must-reads for anyone orchestrating teams, people, and work across the modern digital workplace — whether you're managing sprints, driving roadmaps, leading departments, or just making sure the right work gets done. Curated by the team at Steady.