AI Performance Intelligence
for better prompts.
GreenPrompt helps users analyze, optimize, and measure the impact of every AI prompt — before it becomes wasted tokens, cost, or rework.
- 100% local analysis
- No prompt data sent to servers
- Built with Accio Work Agents
- Designed for AI productivity
AI Performance Score→ Phrases like "Could you please" cost tokens without changing the answer.
The next challenge in AI is not access. It is efficiency.
Enterprise AI adoption is accelerating, but the environmental and economic cost of inefficient AI usage is becoming impossible to ignore.
of organizations already use AI
Stanford AI Index Report, 2025
of electricity consumed by data centres in 2024, driven increasingly by AI
International Energy Agency, 2025
reduction in input tokens achieved through prompt optimization in experimental settings
Akadal, 2025
Based on enterprise AI adoption, environmental impact, and prompt optimization research (2025).
AI waste starts with small prompts.
Most AI tools make prompting feel free and frictionless, but inefficient prompts create longer responses, repeated follow-ups, unnecessary token usage, and lower-quality outputs. At scale, these small habits become measurable waste.
Token waste
Verbose, unfocused prompts inflate token usage on every request — silently and at scale.
Repeated prompting
Vague instructions force users to re-ask the same question multiple times to get a usable answer.
Lower output quality
Unstructured prompts produce inconsistent, off-target responses that require manual rework.
Invisible impact
Cost, compute, and environmental footprint of AI usage stays hidden from users and teams.
Enterprises are scaling AI faster than they can govern it.
of companies use generative AI in at least one business function
McKinsey State of AI, 2025
projected annual growth in AI spending between 2025 and 2029
IDC Worldwide AI IT Spending Forecast, 2025
projected worldwide AI spending by 2029
IDC, 2025
A performance layer for every prompt.
GreenPrompt analyzes prompts as you write them, surfaces specific issues, and shows the impact of a better version — in cost, tokens, and resource use.
AI Performance Score
Identify prompt quality issues in seconds with a clear performance score.
Prompt optimization
Reduce prompt size by up to 30–40% without losing intent.
Rework reduction
Help reduce repeated prompting and output correction through clearer instructions.
Cost estimation
Translate prompt optimization into measurable financial impact per request.
Environmental metrics
Estimate compute, energy, and water savings from more efficient prompts.
Local-first privacy
Analyze prompts locally in the browser. Prompts never need to leave the user's device.
From noisy prompt to measurable performance.
Write your prompt
Use any AI tool in your browser as you normally would.
Local analysis
GreenPrompt analyzes your prompt locally in real time.
Issues detected
Filler, vague instructions, and structural gaps are flagged.
Impact estimated
See estimated tokens, cost, and water saved.
Apply optimized version
One click replaces the prompt with a cleaner version.
"Hi, can you please help me wrote an email to my manager about the project delay?"
"Write a concise email to my manager about the project delay, including the new timeline, root cause, and next steps."
What is built today.
GreenPrompt currently focuses on the individual prompt experience: helping users see prompt waste, understand why it matters, and apply a cleaner version instantly — directly inside the AI tools they already use.
- Floating extension panel
- AI Performance Score per prompt
- Individual prompt savings (cost, tokens, water)
- Issue recommendation with explanation
- Apply / Dismiss interaction
- Local browser processing
AI Performance Score→ Spaces are processed as tokens in many encodings.
See GreenPrompt in action.
Watch how the extension panel appears inside an AI chat, analyzes a prompt in real time, and suggests a cleaner, more efficient version.
Screen recording of the GreenPrompt browser extension in use.
Built with a team of Accio Work Agents.
GreenPrompt was developed by orchestrating specialized Accio Work Agents across market research, product strategy, economics, branding, governance, and competition readiness.
Market Intelligence Agent
Market opportunity, competitor landscape, positioning.
Product Strategy Agent
MVP blueprint, product roadmap.
Prompt Performance Agent
150+ optimization rules, scoring system.
Enterprise Economics Agent
Prompt impact model, savings logic.
Brand Strategy Agent
Positioning, visual identity, website language.
AI Governance Agent
Prompt quality standards, risk framework.
We only succeed when our customers save.
GreenPrompt is not sold as a subscription. It is delivered as a performance partnership — our revenue is tied to the measurable efficiency we create inside your AI operations.
Currently free during the Beta Program.
GreenPrompt is available at no cost for selected users and pilot organizations participating in our early access program. Commercial terms apply only after the Beta concludes.
How the model works
A three-step engagement, designed for enterprise AI operations.
- 01
Baseline AI usage assessment
We measure current AI usage, prompt quality, token consumption, and cost across teams.
- 02
GreenPrompt optimization
Prompt quality, routing efficiency, and AI usage patterns are improved through our platform.
- 03
Shared value creation
Compensation is calculated as an agreed share of independently verified savings.
A fixed platform access fee covers deployment, governance, and ongoing optimization. The variable component is paid only on savings that have been independently verified against the baseline.
"The future of enterprise AI software is not software-as-a-service. It is performance-as-a-service."
How are savings estimates calculated?
GreenPrompt estimates business impact using enterprise AI economics models and conservative benchmark assumptions derived from AI FinOps, enterprise productivity, and infrastructure cost analysis.
Our estimation model combines:
- • Token efficiency gains: 30–50%
- • API call reduction: 15–25%
- • Enterprise AI infrastructure costs: $5–10 per 1M tokens
- • Productivity recovery: 3–5 hours per employee per week
- • Environmental impact estimates based on AI compute and data center efficiency benchmarks
All estimates are directional and based on conservative enterprise benchmarks. Actual savings depend on AI usage patterns, model selection, and organizational workflows.
Private by default.
GreenPrompt is designed around local-first prompt analysis. The current MVP processes prompts in the browser and does not require sending prompt content to GreenPrompt servers.
- Local prompt analysis in the browser
- No unnecessary prompt storage
- No external prompt processing required for the MVP
- No personal data needed for individual use
- Designed for future enterprise trust
Start improving every prompt.
Analyze prompt quality, reduce avoidable waste, and measure the impact of better AI usage.