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minai

An AI Assistant for Human Assistants

Pay-as-you-go frontier AI, powered by crypto micropayments

https://minai.work

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The Problem

Over 5M

Virtual Assistants currently working across the developing world

<5%

credit card penetration

in VA countries (PH, KY, NG)

$5–10/hr

VA wages too low to afford

access to frontier AI

AI won’t replace VAs. If anything, LLMs make the “human touch” more special.

VAs support executives, creators, and entrepreneurs worldwide — and they need powerful AI too!

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VAs aren't going away.

They need great AI

assisting them.

No matter how good LLMs become, people still prefer a human

assistant making informed choices about their daily routine.

The opportunity is in augmentation.

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minai

Frontier-grade AI, at 20% of the cost of Claude Opus

Pay-as-you-go

Top up with $0.10 via crypto. �No subscriptions.

Frontier AI

95% of Claude Opus

performance at 20% cost

Built for VAs

Calendar management, document analysis, notebook organization, market data — �all built in

For the Global South

No credit card needed.

Pay with MiniPay + any crypto wallet.

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SAMPLE USE CASE

Analyze 69 documents in 2 minutes for $0.13

10x cheaper than Claude. Built-in file storage and notebooks.

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SAMPLE USE CASE

AI-Powered Image Editing

Professional headshots, image generation, and editing — all inside the chat.

$0.05

per image edit

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Under the Hood

01

Prompt Classification

Every prompt is classified

and routed to the most

cost-effective model

02

Context Compacting

Background compression

reduces input tokens

by up to 90%

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Frontier LLM

Qwen 3.5 Plus delivers

95% of Opus quality

at a fraction of the cost

Result: 90% of frontier performance · 10% of the cost · Pay only for what you use

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Stablecoin Micropayments on Celo

No credit card. No subscription. Just top up and go.

$0.10

minimum top-up

USDC / USDT / cUSD

stablecoins accepted

MiniPay

or any crypto wallet

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What's Next

Sandboxed OpenClaw Skills

Let VAs roll their own custom AI skills for niche tasks

Bounty Program

Earn tokens by making accepted feature suggestions

Fine-tuning

Improve our LLMs with LoRA fine-tuning on local languages

Community GTM

Real VAs as ambassadors — collaboratively build

the tool they want to use

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The Ask

We're raising to scale infrastructure and

subsidize our first cohort of users.

Infrastructure

Scale compute, reduce classification latency,

add more model providers

Early Adopters

Subsidize onboarding for

our first 1,000 VAs

Try it now → minai.work