CentralAgentGet a demo
Pricing

Pay for what the brain reads and answers.

No seats, no subscription. You pay the model’s published per-token rate plus 30% for what the brain reads and answers. The servers run in your cloud, on your own bill.

15 people
$160K
How much each person meets and uses AI
Fine-tune the estimateMeeting hours, AI bill, engineers, sources
10 hours
$900 ($60 each)

What the team pays for AI tools today. We read it as 1.5 questions a day per person, 3 from coding agents and 4 agent sessions per engineer.

60%

Sets how many of the people above count as engineers for the savings.

What the brain reads

About 1,148 documents a month at these settings.

For a 15-person company (9 engineers) of typical AI use:
Lost today$346Ka year of engineering time on toil: tech debt, poorly documented code, hunting for answers, fixing AI output. A company brain gets $156K of it back.
After CentralAgent$224K$190K of toil left, plus $34K a year for model, cloud and fee
Estimated net saving$122Ka year, 3.6x what CentralAgent costs all in ($70K to $173K). About 4.3 hours back per engineer each week.
Estimated price
$421
$28per person per month

CentralAgent's fee alone (30% of the model cost), likely $220 to $920 a month.

What the $421 is made of
Model cost, paid to the provider (not included)
$1,403
In-VPC CentralAgent infrastructure (not included)
$501
CentralAgent fee, 30% of the model cost
$421
Estimated price a month
$421
Paying with cloud credits

The brain runs on your cloud provider’s hosted models and infrastructure, paid from your credits. Your only cash cost is the CentralAgent fee, about $421 a month.

Where the toil goes, and what a company brain gets back

Agents get the task and rarely the why. The why lives in people’s heads, and each person holds a different slice of it.

Agents todayTasks only
A senior engineerTasksWeekly goalsObjectivesOKRsVision
Agents miss the big picture
  • 65% of developers who use AI for refactoring say it misses relevant context. Qodo 2025
  • 66% are frustrated by AI answers that are almost right, the most common complaint; 45% say debugging AI code takes longer. Stack Overflow 2025
  • 53% worry that leaning on AI will erode the team’s grasp of its own codebase. Sonar 2026
People work from different pictures
  • 81% of software and IT workers say goals and priorities across teams are unclear or conflicting. Atlassian 2026
  • Knowledge workers spend a quarter of their week searching for information; 56% say they often have to ask someone or book a meeting to get it. Atlassian 2025
  • Only 20% are confident their team has a fast way to tell other teams about decisions that affect them. Atlassian 2025
24% of a developer’s week goes to toil, even for those who use AI several times a dayToil is the work that slows developers down: tech debt, debugging poorly documented code, hunting for answers, fixing AI output. That’s 9.6 hours a week, $38K a year at $160K. Sonar 2026, 1,149 developers, October 2025.
Where developers who use AI several times a day still lose timeShare who named each a top source of toil. They could pick several. Sonar 2026
Managing technical debt44%

Every refactor means working out again why the code is the way it is.

Debugging legacy or poorly documented code30%

Nobody remembers why the system works this way.

Correcting or rewriting AI-generated code25%

The AI only saw the task, so the code clashes with the rest of the system.

Finding information or understanding existing systems21%

The answer sits in someone’s head or an old thread.

How much of that toil a company brain gets back
It helps most with hunting for answers, poorly documented code and AI rework, and least with tech debt. We use 45% by default.
9 engineers (60% of 15, set under Fine-tune)x $160K eachx 24% toil= $346K lost a year45% of it back with a brain= $156K, 4.3 h a week eachminus $34K all in (model, cloud and fee)= $122K net a year

Engineering salaries only, on 40-hour weeks.

Sources
  • Sonar, 2026 State of Code Developer Survey (2026)When asked about the portion of their work week assigned to tasks associated with toil (e.g. managing technical debt, debugging legacy or poorly documented code), developers reported spending nearly a quarter of their time on toil work. Interestingly, the amount of time spent on toil (an average of 23-25%) stays almost exactly the same for developers who use AI coding tools frequently and for those who use them less often. (Chart: % of work week spent on toil, Average: 24% of work week, n=1,149, split by Use AI multiple times a day and Use AI occasionally / weekly.) Methodology: Fieldwork for the survey ran throughout October 2025. The final sample size for the study included 1,149 responses, distributed globally.
  • Sonar, 2026 State of Code Developer Survey, toil sources by frequency of AI use (2026)Chart, Toil based on frequency of AI use (n=626). Question: Thinking about your current workflows, what are your biggest sources of “toil work” that hinder / sap productivity or increase frustration in your current role? Use AI multiple times per day / Use AI weekly or occasionally: Managing technical debt (e.g., refactoring complex or outdated code) 44% / 34%; Debugging legacy or poorly documented code 30% / 34%; Correcting or rewriting code created by AI coding tools 25% / 15%; Finding information or understanding existing systems 21% / 29%.
  • Qodo, 2025 State of AI Code Quality (2025)65% of developers using AI for refactoring and ~60% for testing, writing, or reviewing say the assistant “misses relevant context.”
  • Stack Overflow, 2025 Developer Survey, AI section (2025)The biggest single frustration, cited by 66% of developers, is dealing with “AI solutions that are almost right, but not quite,” which often leads to the second-biggest frustration: “Debugging AI-generated code is more time-consuming” (45%)
  • Sonar, 2026 State of Code Developer Survey (2026)Table, Top 10 concerns developers have about AI-assisted or generated code (extremely / very concerned): Over-reliance on AI leading to a decline in the team’s understanding of the codebase, 53%
  • Atlassian, State of Teams 2026, tech leadership brief (2026)81% of IT and software development workers have unclear or conflicting goals and priorities across teams. Methodology: Double-blind survey data was collected in January and February 2026 from 12,035 global knowledge workers and 173 Fortune 1000 executives.
  • Atlassian, State of Teams 2025 (2025)25% Executives and teams alike spend a quarter of the workweek searching for information. 56% of workers say they often find that the only way to get the information they need is to ask someone or schedule a meeting. Methodology: Atlassian surveyed 200 Fortune 1000 executives and 12,000 knowledge workers to discover how the world’s most successful teams are adapting to the changing pace of work.
  • Atlassian, State of Teams 2025 (2025)Just 20% of knowledge workers feel confident that their team has an effective process for quickly informing other teams of decisions that may impact their work. Methodology: Atlassian surveyed 200 Fortune 1000 executives and 12,000 knowledge workers.
How we estimate this
  • Each question uses about 125k tokens; we measured the answer step on 222 of our own questions. The low and high prices assume every estimate comes in low, or every one comes in high. Yearly figures switch to the standard model rate when the current promotional rate ends.
  • Each meeting takes about 235k tokens to read, worked out from the pipeline’s prompts.
  • The AI bill sets usage. $20 a person a month means 0.5 questions a day per person, $60 means 1.5, $200 means 3; coding-agent questions and sessions scale the same way.
  • The model’s list price is $4.00 per million input tokens and $20.00 per million output; we bill 130% of that.
  • The tokens per question assume a routing change on our roadmap that keeps prompts the same size as the brain grows.
  • Savings: engineering payroll times the 24% of the week developers spend on toil (Sonar 2026), times the share a brain gets back (45% by default; set it in the breakdown). Sources on our benchmarks page.
See every assumption in the full model
a month fee, est. $122K a year net