Staff Site Reliability Engineer in East Texas. I build AI systems for mid-market ops and then stay to run them. Field notes on what breaks in production.
Everyone wants an AI chief of staff now. Mine's run my life since spring. This weekend: the business too. The useful 90 percent isn't AI: date math, a mailbox watcher, a dead-man switch for anything that goes quiet. The model gets judgment calls. No PTO. Nothing dropped.
Someone pitch @grok Heavy to me for running my solo AI consulting business. Claude is starting to feel a bit too guard railed and slow. I need one good pitch to tip me over to the Grok/ Cursor side
#grokheavy#cursor
I solve the 2A.M. failure after the demo and the product is implemented in production. Retainer for product support as models drift, upgrade and environment variables change.
A further update on the ongoing cooling incident at our PhoenixNAP data center:
Temperatures continue to fall. The cooling process is taking effect and temperatures are consistently trending in the right direction.
Based on the progress we are seeing, our teams have now begun the process of preparing our infrastructure to safely bring customer services back online. We are doing this in a careful, staged approach:
1. Restore all physical network devices.
2. Restore all virtual network devices.
3. Begin restoring customer services.
We expect the first two steps to take approximately one hour. Based on current conditions, we anticipate being able to begin bringing customer services back online at approximately 3:00–3:30pm ET.
Services will then be restored progressively as we ensure each part of our infrastructure can be brought back online safely.
Our teams remain on site and are working continuously to move through this process as quickly and safely as possible. We know every additional minute of this outage matters to our customers, and we are deeply sorry for the disruption this extraordinary situation has caused.
Thank you for your continued patience. We are making progress, and our entire focus is now on safely restoring all affected services as quickly as we can.
Last night an AI research tool built me a library of documented AI failures in production. 31 incidents, cited, confident. Before publishing I checked every one against primary sources. One FTC ban it cited was quietly set aside in December. A regulator ruling it leaned on was partly reversed on appeal in March. Half needed their sources swapped from blogs to primary records. Its headline stat had 100 percent of the failures caught by outsiders rather than the company running the AI. Verified, it settled at 27 of 31, which is still damning, just true now. I almost shipped the first version.
@EXM7777 Thirty years in tech and this is the path I picked. Services force the two skills a product lets you postpone: talking to buyers and delivering on a date. The product can come later. The customers can't.
kinda sad that social media pushes "build a SaaS" and "become an influencer" harder than any other path...
you could be learning so much about business and building real foundations by starting with a service-based one
a simple agency model, well executed, carries every component of entrepreneurship: selling, delivering, keeping clients, hiring, managing cash, and it builds a network that keeps opening doors after
best training i've found, it has helped me in every venture i've tried since
@boardyai would you kindly review my AI consulting website and give me your feedback and possibly keep me in mind if you see requests fitting my expertise? https://t.co/jYN7nEEVRb
@markproduct PWA's are pretty simplistic. Depends on what the build is. I've built my own weather app because I was tired of pop up ads. Also built a sitrep, cyberposture and an AI chief of staff for my Android
My compliance page promised a verified 24-month data purge.
The purge job never covered the table the contact form writes to.
Nothing failed, no error, no alert. A claim in HTML and an array in a cron job have no relationship anything checks.
Build breaks now if they disagree.
The failures that matter in production AI do not throw exceptions.
Model updates change behavior. Upstream schemas drift. Prompt performance decays. None of that raises an error, so none of it pages anyone.
Monitoring built on uptime and error rates is blind to all three.
The new meta: loop the agent until every check passes.
My build passed seven checks, all green, and shipped the British spelling of behavior to production. Each proved the build matched the source. None proved the source.
A loop gives you exactly what the gauntlet measures.
An agent fleet runs a steel order desk, and a deterministic gate re-checks every mill cert's chemistry. One cert claimed A572-50; its carbon only makes A36. Blocked, element named.
Run 1: 30 of 35. Misses published beside the passes.
https://t.co/24o9Owgk8v