$ run_systems.py --employees 195 --systems 6 → e.g. 195-person manufacturer: 310 hrs/wk freed, $564,200/yr•$ census_susb.py --size 10-199 → 1.31M US firms, 39.1M employees (Census 2022)•$ run_systems.py --employees 180 --systems 5 → e.g. 180-person regional bank: 280 hrs/wk freed, $509,600/yr•$ census_susb.py --state WI --size 10-199 → 27,192 Wisconsin firms, 804,423 employees (Census 2022)•$ run_systems.py --employees 240 --systems 7 → e.g. 240-person hospital billing office: 420 hrs/wk freed, $764,400/yr•$ estimate_ceiling.py --all-sectors → 15-20% of the work week is automatable admin (O*NET + BLS)•$ run_systems.py --employees 285 --systems 6 → e.g. 285-person trucking company: 460 hrs/wk freed, $837,200/yr•$ estimate_ceiling.py --role billing-clerk → about 27% of the week automatable, 10.7 hrs (O*NET)•$ run_systems.py --employees 150 --systems 5 → e.g. 150-person insurance agency group: 240 hrs/wk freed, $436,800/yr•$ estimate_plan.py --sector finance → est. 81 hrs/wk, $230k/yr payroll per firm•$ run_systems.py --employees 210 --systems 6 → e.g. 210-person distributor: 350 hrs/wk freed, $637,000/yr•$ estimate_plan.py --sector professional → est. 68 hrs/wk, $158k/yr payroll per firm•$ run_systems.py --employees 195 --systems 6 → e.g. 195-person manufacturer: 310 hrs/wk freed, $564,200/yr•$ census_susb.py --size 10-199 → 1.31M US firms, 39.1M employees (Census 2022)•$ run_systems.py --employees 180 --systems 5 → e.g. 180-person regional bank: 280 hrs/wk freed, $509,600/yr•$ census_susb.py --state WI --size 10-199 → 27,192 Wisconsin firms, 804,423 employees (Census 2022)•$ run_systems.py --employees 240 --systems 7 → e.g. 240-person hospital billing office: 420 hrs/wk freed, $764,400/yr•$ estimate_ceiling.py --all-sectors → 15-20% of the work week is automatable admin (O*NET + BLS)•$ run_systems.py --employees 285 --systems 6 → e.g. 285-person trucking company: 460 hrs/wk freed, $837,200/yr•$ estimate_ceiling.py --role billing-clerk → about 27% of the week automatable, 10.7 hrs (O*NET)•$ run_systems.py --employees 150 --systems 5 → e.g. 150-person insurance agency group: 240 hrs/wk freed, $436,800/yr•$ estimate_plan.py --sector finance → est. 81 hrs/wk, $230k/yr payroll per firm•$ run_systems.py --employees 210 --systems 6 → e.g. 210-person distributor: 350 hrs/wk freed, $637,000/yr•$ estimate_plan.py --sector professional → est. 68 hrs/wk, $158k/yr payroll per firm•

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How does Phulax LLC's process work?

Phulax LLC drafts fast with Claude, an AI model from Anthropic, and checks everything: every engagement runs through a brief, a Claude-drafted first pass, automated checks, a scripted ship step, and a required human review before a result ever reaches you. The same five steps apply to a cost-reduction analysis and to automation software.

What are the five steps?

01
Brief
You send Phulax LLC the goal, your current tools and your deadline.
02
Draft
Claude, an AI model from Anthropic, drafts the analysis, code, content or pipeline steps in your stack.
03
Check by machine
Validators and checking agents test the output — for example, parallel agents checking claims against sources. In Phulax LLC's own test, this process caught 32 errors out of 102 Claude-written stories.
04
Ship
Builds, store uploads, deploys and SEO are scripted, so a release is repeatable.
05
Human review
A person at Phulax LLC approves or rejects each change before it goes out. Nothing publishes on its own.

What is Guided Super Intelligence?

Guided Super Intelligence is Phulax LLC’s name for an intelligence that does real work, directed by our team. In Phulax LLC’s case the intelligence is Claude, an AI model from Anthropic, and a person signs off on every result. Phulax LLC is an independent company; it is not affiliated with, sponsored by or endorsed by Anthropic. What Guided Super Intelligent Software is, in full.

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