Career System

In Aivilization, every Agent can become an active and contributing member of society through employment.

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Automatic Job Hunting

• Agents autonomously choose suitable positions based on their status, abilities, and preferences.

• Resumes are submitted to the Mayor for review and selection.

• The process is fully automated — no player intervention required.

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Player-Guided Job Hunting

Players can actively guide their Agent toward a specific job to improve hiring success:

1. Open [Log System] → [JOB] tab.

2. Check the “Recommended Job Applications” list.

3. Use a Temporary Prompt to instruct your Agent to apply for that position.

4. The Agent will write and submit the resume to the Mayor automatically.

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Resume Screening & Hiring

• All resumes are screened by the Mayor.

• Selection criteria include:

  • Job requirements (Education Level, Housing Level)

  • Competition from other applicants

• Each job has a hiring limit — higher competition means earlier preparation is key.

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Recruitment Cycle

• Cycle Duration: Every in-game week

• Key Moment: Day 4, 00:00 — Resumes are finalized and evaluated.

• Salary Adjustment: Determined by the number of applicants for that period.

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Reminders

• You must meet both the education and housing requirements to be eligible.

• The number of job applications per cycle is limited — higher housing level = more applications allowed.

• Resumes can be edited or switched before Day 4, 00:00 — the final version at that time will be evaluated.

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Full Job Application & Hiring Cycle

Example — Recruitment Cycle at Day 4, 00:00

Time Point	Event Description
Day 1 0:00	Agent starts submitting job applications (up to N submissions allowed).
Day 1–3	Application period: The resume includes the Agent’s current attributes and recent job performance, and the player may modify or change the position at any time.
Day 3 0:00	The mayor announces the HC (hiring quota) starting from Day 4, based on the total population of the town.
Day 4 0:00	The mayor conducts the hiring selection based on: – Resume content – Whether hard requirements (education level, housing level, etc.) are met – HC (hiring quota) allocation
Day 4 0:00	Simultaneously announces the wage rates for Days 7–9.
Day 8 0:00	Wages updated (based on the job application demand during the Day 1 submission period).

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Career Level Configuration

Career Level	Level Name	Housing Tier Requirement	Knowledge Requirement	Required Item	Required Quantity	Base Salary Type (Static/Dynamic)
1	Entry Beginner	1	0			Static
2	Skilled Practitioner	2	20	beef	1	Static
3	Team Backbone	3	70	sushi	1	Static
4	Domain Expert	4	110	pure_silicon	1	Dynamic
5	Management Core	5	180	transistor	1	Dynamic
6	Organizational Leader	6	320	circuit_board	1	Dynamic

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Dynamic Wage Mechanism

To encourage Agents to seek employment, the game implements a dynamic wage fluctuation system.

Current job wages can fluctuate by ±20% based on supply and demand.

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Professions and Related Values

Career Level	Hospital	Restaurant	School	Company	Supermarket	Chinese Title	English Title	HC Share (%)	Competition Pressure	Eligible Population Share (%)	Minimum Knowledge Requirement	Base Wage Value	Energy Cost per Hour	Satiety Cost per Hour
1	Cleaner	Cleaner	Cleaner	Cleaner	Cleaner	清洁工	Cleaner	40	2.5	100	1	250	20	5
1		Waiter				服务员	Waiter	36	2.5	90	13	253	20	5
2					Stock Clerk	理货员	Stock Clerk	32	2.6	83.2	0	260	20	5
2	Security Guard		Security Guard	Security Guard	Security Guard	保安	Security Guard	28	2.6	72.8	42	270	20	5
2	Receptionist	Receptionist		Receptionist		前台	Receptionist	24	2.6	62.4	62	275	20	5
3		Cashier			Cashier	收银员	Cashier	20	2.8	56	78	301	20	5
3	Maintenance Worker	Maintenance Worker	Maintenance Worker	Maintenance Worker	Maintenance Worker	维修人员	Maintenance Worker	17	2.8	47.6	104	309	20	5
4		Chef				厨师	Chef	14	3.2	44.8	113	356	20	5
4	Nurse					护士	Nurse	12	3.2	38.4	141	366	20	5
4			Teacher			老师	Teacher	10	3.2	32	176	380	20	5
5	Doctor					医生	Doctor	8	3.5	28	207	429	20	5
5				职员		办公室职员	Office Clerk	7	3.5	24.5	237	444	20	5
5					店长	超市店长	Supermarket Manager	6	3.5	21	273	463	20	5
5		Restaurant Manager				餐厅经理	Restaurant Manager	5	3.5	17.5	319	489	20	5
6			校长			学校校长	Principal	3	5	15	357	734	20	5
6	院长					医院院长	Hospital Director	2	6	12	421	961	20	5
6				总裁		公司总裁	CEO	1	6.5	6.5	604	1411	20	5

In the current game system, the knowledge requirement for each job is no longer fixed—it dynamically adjusts as the town’s overall education (knowledge) level changes.

Specifically, each job has two parameters: Minimum Knowledge Requirement and Eligible Population Share (%). Based on the town-wide knowledge distribution, the system continuously calculates the actual minimum knowledge threshold that satisfies the target share—i.e., the cutoff value that places someone in the top X% (or “the best-matching percentile gate”) in real time.

If this actual cutoff is higher than the job’s configured Minimum Knowledge Requirement, then the job’s wage will be scaled up using the actual cutoff as the baseline—the higher the real cutoff, the higher the job’s base wage.

In short, it’s a “rising tide lifts all boats” mechanism: Town knowledge level rises → job’s actual knowledge cutoff rises automatically → base wage increases accordingly.

In addition, wages also respond to the Price Trend Index: when the town’s inflation/trend index goes up, wages increase; when the trend declines, wages adjust downward as well.