2 min read
An Agent Quietly Burned Through My Budget
A loop ran overnight and the bill arrived later. Hard budget caps, 80%/100% alerts, and ask-first-for-more keep agent spend bounded.
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Blog
Practical posts on turning recurring work into controlled Task Machine workflows with approvals, checks, agents on your own machines, and a history you can read.
2 min read
I Can't Trust AI Output Enough to Send It
Agent work looks finished but you redo it anyway. Verifier checks, approvals, and step-level history turn plausible output into reviewable evidence.
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2 min read
My Agent Work Is Scattered Across Terminals and Chats
Codex here, Claude Code there, decisions lost in scrollback. One shared inbox and durable tasks give agent work a real system of record.
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2 min read
My AI Agent Did Something I Never Approved
An agent acted before you saw it, and trust is gone. Approval-first control routes every consequential action to one inbox before it ships.
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3 min read
The Recurring Work Keeps Slipping
Outreach, content, reports, and follow-ups keep sliding to next week. The fix is structural: recurring workflows agents run and you approve.
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8 min read
Add AI Agents to the Business You Already Run
Most AI company tools assume you are starting from a prompt. Real businesses already run. The better model plugs agents into the stack you have.
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8 min read
Agent Workflows vs Saved Prompts vs Cron Jobs
A cron job that runs an agent prompt nightly fires blind. Recurring agent work needs a controlled loop, not a scheduler.
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7 min read
Autonomous Company vs Operating Layer
Two models for letting AI run your business: a company that runs itself, or an operating layer you direct. The honest tradeoffs.
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9 min read
Choosing an AI Agent Platform as a Solo Founder
Stop asking which AI agent platform is best. Use the axes that actually decide it for a solo founder, then map each category to where it fits.
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11 min read
How to Run a Company With AI Without Handing It the Keys
Running a company with AI works as a controlled operating model, not a black box. Here is the model: workflows, one inbox, autonomy levels, budgets, verifiers.
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8 min read
Set Up an Autonomous Developer That Fits Your Workflow
A step-by-step operating model for running a coding agent through your existing tracker, repo, and review step, gated by planning and risk scoring.
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10 min read
Teams of Humans and Agents: What an AI-Native Company Looks Like
Why an AI-native company is a team where humans and agents share the work, not an org chart of role-bots you approve from above.
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