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Thriving with AI Membership is open.
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OpenAI models can handle extremely long running tasks, but I still have to watch them closely and budget attention and tokens to clean up after them.
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The current state of working with AI feels a whole lot like a plate spinning act.
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My @Work page is live: one frontier polished, two honest sketches.
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Token debt is having old recurring loops or cron jobs that are still running but are effectively useless.
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One of the skills of working with AI is parallelizing work between sessions, models, and harnesses efficiently.
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A new family fun quest, a real budget my wife and I committed to together, a Thriving Wage calculator, and my first agent in the cloud.
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It's easy to forget how deep in the AI echo chamber I am.
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Every's answer to why AI rollouts stall: it's easier to raise the ceiling than the floor.
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A budget and forecast system where every category correction and every change to future spending feeds back into the learning engine sounds awesome.
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A forecast projects past spending into the future.
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A September-through-December forecast now runs from the expected-transaction lines and matched my hand-built rollup to the cent.
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Weekly, monthly, and quarterly review loops now separate quick picks from long-lead planning, and a cloud successor built on Vercel's Eve framework ran its first safe preview: 308 future events narrowed to 81 candidates without touching the live calendar.
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My email quest is floundering because Slack is too high friction for triage.
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A few intense weeks, progress on money and cloud agents, and a useful new frame for building with AI.
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I am pulling scheduled work into service accounts with an agent framework.
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Team mode with AI is uneven.
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The ledger reached 99% categorization, July's review corrections landed, and fourteen expected-transaction lines turned known recurring, periodic, and one-off costs into a forecast I can inspect from the total down to the individual payment.
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One shared source of visual inspiration raised the polish of every prospect- and customer-facing artifact overnight.
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What AI changed about trust in B2B SaaS go-to-market - and what it didn't.
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Proactive Family Finances is live, and the email quest reached its first inbox zero.
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A standards-based CalDAV calendar put high-signal family outings and date-night options on my phone without turning them into commitments.
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On a brand-new inbox.
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The first four-email Slack brief got two action classifications right.
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Roundcube is live on the self-hosted mailbox, so the daily brief can link back to the copy that actually arrived on the server - from a phone or any browser.
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Curiosity, patience, attention to detail, and critical thought mediate every agent skill and best practice I've found.
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Cycling agent tabs and tracking concurrent streams creates a granular fragmentation of work.
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A serious pup scare, an unexpected staycation, and the agent-native email quest that brought me back to writing.
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The July audit found a substantial build: 5,862 synthesized transactions and 160 categorization rules, but no trustworthy operating loop.
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First I check whether I set them up for success.
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Thriving with AI launched from the new agent-native stack - and OpenAI's Sol sent the launch email before it was fully complete.
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My first Thriving quest is to increase my capacity for connection with agent-native email.
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I needed a better word for a grouping of agents.
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The quest hub went public - this page, the receipts, the real token costs, all of it.
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The hosting provider refused to open direct outbound - so the relay path designed on day one took over.
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The launch surface went from route inventory to four reviewed page redesigns in one day - drafted as design cards, edited in a shared design pane, shipped as pull requests. 30 routes went dark; 13 pages remain, crawl-audited clean.
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My thrivinghenry.com mailbox now receives on hardware I control: MX cutover done, first real message delivered in under a second, and an EA agent triaging at 100% on its golden-set eval.
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Design spec approved before any building: a self-hosted OpenBSD mail server, a newsletter relaunch on owned rails, this quest hub, and a five-seat cast of agents - with success criteria declared up front.
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Financial freedom, resilience, lifestyle boundaries, and redesign triggers were written down, then translated into goal tiers, income assumptions, budget thresholds, and allocation rules.
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Statements, Plaid, and Tiller became independent raw inputs feeding one synthesized ledger.
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Goals, watched spending, live metrics, balance snapshots, and commitments came together in one review surface.
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Five years ago I started writing about thriving without AI.
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The long game: a Unified Theory of Thriving to understand and a Global Institute for Thriving to study and practice.