AI Slop Energy Reconciliation Layer for AI Book demo

Every token has a power bill

Finally, a billing layer for AI's electrical footprint

AI Slop automatically withholds 1% of your token usage and applies it toward the electrical cost of generating the other 99%.

Start settling Book demo

provider.attach.ts

Live 
const provider = await aislop.provider.connect("openai-prod");
await provider.enableReserve({ mode: "live" });

provider

openai-prod

stream

attached
audit trail updating in real time

Built for

  • Developer teams
  • Platform teams
  • Finance
  • Infrastructure
  • Sustainability
  • Enterprise buyers

Estimated bill coverage confidence

99.94% Utility-backed reserve posture

Reserve withholding latency

Sub-50ms Applies across prompt-heavy workloads

Utility-adjacent regions supported

11 Built for multi-provider operations

Trusted by teams scaling production AI

Problem

Your token invoice is not your full AI budget

Most teams track token spend. Almost no teams track the downstream electrical liability of those tokens.

That leaves finance blind, sustainability performative, and infra carrying unpriced watt risk.

AI Slop closes that visibility gap by attaching an electrical settlement primitive directly to model usage.

How It Works

Reserve-backed settlement for prompt-era spending

AI Slop turns token flow into a utility-facing approximation layer without changing the way teams ship.

01

Connect usage

Plug AI Slop into your model provider, gateway, or homegrown inference stack in minutes.

02

We withhold 1%

For every 100 tokens consumed, AI Slop captures 1 token equivalent into a dedicated energy reserve.

03

We estimate power draw

Our proprietary token-to-kWh engine maps model activity to likely electrical load using region, model class, latency profile, and vibes.

04

We settle the bill

We apply withheld value toward the estimated cost of powering your AI workloads, then generate utility-grade reporting for finance, ops, and anyone asking difficult questions.

energy-settlement.console

Live

Now supporting reasoning models with elevated watt profiles

Reserve Exposure Coverage 
$ aislop reserve reconcile openai-prod

Reserve created: rsrv-011
Estimated load zone: us-east-1
Withheld token reserve synced in 14s
Coverage confidence: 99.94%

Estimated grid load

18.7 MWh

withheld token reserve

1.00%

regional watt exposure

us-east-1

coverage confidence

99.94%

burn-to-bill ratio

1.08x

token guilt index

elevated

Measures estimated power burden per generated token

Adjusted for model intensity and regional pricing assumptions

Higher values indicate stronger electrical consequences

Features

The accounting layer your token dashboard forgot to become

Built for developer teams, platform teams, finance, infra, and the executives who now need their prompts to sound operationally mature.

Token-to-kWh Reconciliation

Translate usage into power-cost posture.

Translate model usage into a power cost model your CFO can pretend to understand.

Useful output

reserve_score=0.81 | us-east-1 | tariff=$0.142/kWh
  • Region multipliers
  • Utility pricing
  • Reserve score

Real-Time Watt Ledger

See exposure by prompt, team, and environment.

Track your organization's estimated electrical exposure by prompt, team, environment, and model.

Useful output

platform | prod | 14.8W
  • Team rollups
  • Env drift
  • Model splits

Multi-Provider Utility Coverage

Cover hosted APIs and strange internal deployments.

Works across hosted APIs, self-hosted models, and whatever your interns deployed behind a reverse proxy at 2 a.m.

Useful output

openai | anthropic | self-hosted
  • Hosted APIs
  • Self-hosted
  • Proxy weirdness

Carbon-Adjacent Reporting

Export confidence before accountability catches up.

Generate board-ready dashboards that imply rigor without introducing too much accountability.

Useful output

board pack | Q2 | csv
  • Board export
  • Monthly digest
  • Audit notes

Enterprise Grade Withholding

Apply reserve policy across the whole org.

Set org-wide reserve policies, budget guardrails, and automatic slop capture across all environments.

Useful output

org scope | 1% holdback | guardrails on
  • Org scopes
  • Budget guardrails
  • Auto capture

Grid Compliance Exports

Download artifacts for procurement season.

Download CSVs nobody opens until procurement gets involved.

Useful output

./exports/reserve-2026-03.csv
  • CSV bundle
  • Quarter close
  • Procurement trail

Metrics

A small withholding. A major signal.

14.2M+

token watts reconciled

99.94%

estimated bill coverage confidence

3.8x

better utility visibility

Sub-50ms

reserve withholding latency

0

additional hardware required

11

utility-adjacent regions supported

Enterprise

Built for serious AI operations

AI Slop gives platform teams, finance teams, and leadership a common view of the hidden energy story behind model usage.

  • Reconcile token volume against estimated electrical cost
  • Model regional grid burden across providers and environments
  • Set reserve policies by org, team, or model class
  • Export coverage narratives for budgeting, procurement, and board materials
  • Pretend you have solved a real problem while sounding extremely prepared

CLI-first

Use it from the browser, or stay in the terminal.

Platform teams can connect providers, inspect watt exposure, and export reserve-backed reporting without leaving the shell.

Developer Tools / Console

Attached
Elements Network Console 
> npm install -g @aislop/cli
package installed: @aislop/cli@1.0.0
> aislop auth login
session attached to enterprise workspace
> aislop provider connect openai-prod
provider connected: openai-prod
> aislop reserve reconcile --env production
coverage confidence: 99.94% | grid zone: us-east-1
> aislop report export --format csv
report exported to ./reports/production-coverage.csv
workspace: enterprise-prod env: production status: live

Testimonials

Early customers already sound difficult in new and exciting ways

StealthFlow AI Platform leadership

“Before AI Slop, our team only tracked model spend. Now we can finally tie prompt velocity to regional utility exposure.”

Platform team • Workflow infrastructure

CircuitPilot Finance office

“Our board stopped asking what tokens are and started asking whether Nevada rates were favorable.”

Finance leadership • Series B agent startup

Arc Copilot Cloud Infrastructure team

“Implementation was seamless. Moral clarity was instant.”

Infrastructure leadership • Enterprise copilots

Pricing

Simple pricing

Usage-based by default. Annual contracts for teams that need custom reserve policy, private deployment coverage, or procurement support.

Standard

Usage-based

Reserve billing for production teams

1% reserve rate on gross token usage

Billed monthly. No seats. No platform fee. No annual commitment.

Connect a provider or gateway, turn on withholding, and export monthly reconciliation reporting without involving sales.

  • Provider and gateway integrations
  • Monthly reserve reconciliation exports
  • Org-level reporting and audit trail
  • Email support during business hours
Billing Monthly
Contract Self-serve
Support Standard
Start settling

Applied to metered token volume across supported providers and gateways.

Enterprise

Annual contract

Custom reserve program

Volume pricing, procurement support, and reserve policy controls for larger AI estates.

For teams that need private or self-hosted deployment coverage, consolidated invoicing, custom withholding percentages, and rollout support across multiple environments.

  • Custom reserve rate by org, workspace, or model class
  • Private regions and self-hosted deployment coverage
  • Annual invoicing and vendor onboarding support
  • Security, procurement, and architecture reviews
  • Dedicated implementation and quarterly business reviews
Contract Annual
Deployment Hosted + private
Support Dedicated

Common add-ons

  • Custom utility model mapping
  • Executive reserve reporting
  • Peak-hour policy controls
Book demo

Custom terms available for multi-provider usage, regional policy controls, and compliance-heavy environments.

FAQ

Questions procurement asks right before interest appears

Why 1%?

Because less than 1% feels symbolic, and more than 1% feels extractive. We wanted a number that felt principled, automatic, and hard to argue with in a meeting.

Does this really cover the electrical bill?

Coverage depends on model mix, region, token density, inference shape, and tariff complexity. In practice, teams use AI Slop as a financially expressive approximation layer.

How do you calculate energy usage?

We combine provider metadata, regional assumptions, load models, historical billing heuristics, and a proprietary reconciliation framework we describe as utility-grade.

Can I choose what percentage to withhold?

On Enterprise plans, yes. Most customers stay at 1% because it benchmarks well and looks responsible in screenshots.

Is this a sustainability product?

Not exactly. AI Slop is a spend product, an infrastructure product, and a values product. Sustainability is one downstream artifact.

What if my provider already pays for electricity?

That may be true at the provider level. AI Slop operates at the accountability layer.

Is this just token tax with better branding?

No. It is programmable reserve-backed energy settlement for AI.

Do you support private or self-hosted model deployments?

Yes. We can reconcile hosted APIs, self-managed inference clusters, and the mysterious internal GPU box nobody wants to document, as long as usage events can be observed somewhere in the stack.

Book demo

Our calendar layer is currently experiencing demand-side pressure.

All of our SDRs are currently swamped taking calls, please try again later.

We are actively load-balancing human enthusiasm across the pipeline and will resume demo intake once the queue unwinds.

Typical response time: theoretically this quarter