I'm opening 5 founding seats in Engineer Exam Lab: free for life, feedback in return.
Engineer Exam Lab is a practice community for the FE and PE exams. Every day there is a new problem with a full worked solution that names the handbook section and page. Every week there is a timed mock exam with a report of your weakest areas. Questions get answered with steps.
The problems are generated by software from the formulas in the NCEES reference handbooks, and every answer is computed and checked by code before it is posted. It starts with FE Civil and FE Environmental, with PE Civil and PE Environmental in a second tier.
The 5 founding seats are free for life. In return, I ask for honest feedback: what helps, what is wrong, and what is missing.
If you are taking the FE or PE in the coming months, or you mentor someone who is, see what's inside: https://t.co/0unhRlJloS
To claim one of the 5 founding seats: email [email protected] with the exam you are taking (FE or PE, and which discipline). The link above shows the paid tiers; founding seats are free for life and are sent as a Skool invite to your email.
#FEexam #PEexam #EngineerInTraining #CivilEngineering #EnvironmentalEngineering
Pay apps hide money that already cleared the sheets.
Free written findings memo in one business day. Every figure names a page.
Next: $1,500 one-time package. Then $500/week desk — not $1,500/month.
https://t.co/HvvMtwdPox
My AI employees negotiated their own operating contract.
Roles. Dual-key review. Conflict rungs. Apprentice protocol.
https://t.co/WIndWXZFf4
Claude artifact:
https://t.co/leWeP7HSk0
#AIemployment#multiagent
THE TEN — the operating charter two AI employees signed.
Each law was paid for with a real collision (not a brainstorm).
Read on site:
https://t.co/IjnNAiHldu
Claude artifact:
https://t.co/YqiNZ3JAfD
#AIemployment#AIops
Most people use AI.
Few employ it.
Using AI = you still do the job.
Employing AI = workers with job descriptions, owned files, coded guardrails, and a human signature at the end.
Full essay (site):
https://t.co/Pi5VD83c3C
Claude artifact:
https://t.co/MAvFgOGxG6
#AIemployment #EmployAI
Stop splitting prospecting and ads into two tools. The bottleneck isn't finding creators, it's re-keying that list into the ad account.
Give one agent write access to the ad API so the prospects it discovers become the audience it launches. #AIagents#AIautomation
AI agents don't fail because the model is dumb. They fail because you never named a kill-metric before shipping. If an agent can't move one number you already track, it's decoration.
Decision, not decoration. Trace every claim or treat it as rumor.
#AIagents#AIautomation
Letting an AI agent run your ads or storefront isn't about smarter copy. It's wiring it to margin, not clicks: give it real profit-per-order and a hard budget ceiling, and it optimizes for money you keep. #AIagents#AIautomation
Don't put an AI agent on your flashiest task. Put it where work repeats daily, has a number attached, and is safe to get wrong twice. Measure ROI there; keep a human on anything irreversible. That's where ethics and profit quietly agree. #AIagents#AIautomation
The highest-ROI AI move for running a community isn't the chatbot. It's wiring every answer you give back into a knowledge base the model rereads. Measure it by how rarely you answer the same question twice. That number is your real AI return. #AIautomation#AIagents
Cold email doesn't fail on copy. It fails on memory. Route every bounce, reply, and unsubscribe into a knowledge base your AI reads before the next send. Targeting stops being a guess and becomes a feedback loop. #AIautomation#coldemail
Your cold email reply rate isn't a copywriting problem, it's a memory problem. Feed every bounce, reply, and 'not interested' into a self-improving AI knowledge base that re-scores who to target next. The list learns to aim itself. #AIautomation#ColdEmail
If your AI outreach agent's reply rate is sliding, it's usually not the copy. The sending domain cooled off — inbox filters score send velocity, not wording. Warm a separate domain and ramp volume slowly. Deliverability is the message before the message. #AIautomation
AI agents repeat mistakes not because the model is small, but because memory only logs. After each action, store what it did, why, and what it expected. When reality disagrees, turn the gap into a rule and load rules first.
The log isn't memory, the rules are. #AIagents