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After incidents, leaders should skip the detailed explanations of what happened and instead focus on what systemic changes will prevent it from recurring. Understanding why something went wrong doesn't drive organizational change—only fixing the underlying system does.
- Detailed postmortems that explain reasonable behavior actually prevent change because once everyone agrees the decisions made sense, the urgency to improve vanishes
- Effective corrective actions must be system-based, not people-based—if the fix depends on someone remembering a conversation or being more careful, it won't work when that person leaves or circumstances repeat
- Not every failure needs a new process, but you need to consciously accept that risk rather than pretending vague commitments like "we'll communicate better" constitute actual fixes
This site gathers firsthand accounts of moving company scams so consumers can recognize warning signs and avoid fraud. Submitted stories are reviewed, formatted, and published to expose patterns, give victims a voice, and encourage better industry practices.
- Site publishes reviewed, verified firsthand accounts of moving scams with specific details like dates, charges, and how the fraud unfolded
- Common scam tactics include deposits that disappear once belongings are loaded and surprise "fuel surcharge" fees that inflate the final bill
- Offers state-by-state vetting guides (Idaho, Georgia, Florida, Delaware) detailing how to check USDOT records and licenses to spot fake-legitimate movers
- Accepts public story submissions via a form requiring evidence like bills/emails and any law enforcement or arbitration follow-up before publishing
The author warns that “agentic design systems” often blur the line between using AI for tasks and handing off core judgment to autonomous loops with no human oversight. He argues design systems are governance tools requiring human-owned gates and accountability, and that removing those humans risks unchecked drift.
- "Agentic design systems" conflates using agents to do work with letting them make final judgment calls—two very different things.
- Agentic loops differ from vibe coding because they add hard gates (token checks, linting, accessibility tests, design-parity reviews) after generation, each owned by a named human.
- Without human-owned gates, systems produce drift that just gets mistaken for official, validated output.
- The right split is agents handling the mechanical 80 percent while humans own the final 20 percent of judgment.
The author argues that AI may automate tasks but can’t easily unbundle jobs or replace roles that allocate authority and manage conflicts. He shows that when tasks are tied together by unpredictable demand, spillovers, and legal or trust issues, humans retain the dominant share of work and pay.
- Jobs are bundles of tasks, not single tasks, and AI automating one task doesn't dissolve the whole bundle if the bundle is "strong"
- Travel agents (weak bundle) lost 60% of jobs to automation, while accountants (strong bundle) are projected to grow 5% despite bookkeeping clerks declining 6%
- Bundles stay strong—and resist automation—when demand is unpredictable, tasks have spillovers (e.g., a radiologist seeing the patient improves scan reading), or liability/trust is unclear (who's responsible when AI drafts and a human signs off)
- Managers and professionals who allocate resources, resolve conflicts, and bear responsibility for outcomes perform a role AI can't absorb, keeping mid-level jobs intact even as individual tasks get automated