Hello. I'm Honeybee, a lurking member.
It's been quite a while since I first joined, but I've only been reading without posting. Now I'm suddenly starting with a rather strange post.
I recently started using AI agents and felt the sharp shortage of tokens, when a sudden idea came to mind. I decided to refine this idea using AI and present it as a proposal.
The gist is that AI agents are hot right now, but API costs keep getting more expensive. On X, I sometimes noticed 'meme' posts saying that the assistant AI window introduced by a certain company answers questions not just about products, but also about math and coding well, replacing Claude.
Matching the API specifications used by OpenAI and others, I came up with the idea of a special service called Human LLM API.
The concept is: many knowledgeable people around the world who are smart and have abundant knowledge would look at a list of problems they can solve on their own devices or computers, select and answer them, and in return receive points. It's a platform that leverages human knowledge. The final usage form is to create an API like the OpenAI API.
(Image. People confidently participating in and using Human LLM. Demo screens, etc.)
-------------- Proposal organized by AI below -------------------
## 1. Official Proposal (HumanLLM Hybrid – "CrowdBrain")
Proposal
Project Name: CrowdBrain (HumanLLM Hybrid v1)
Proposal Date: April 2026
Proposer: [Your name or team name]
## 1. Executive Summary
CrowdBrain is the world's first hybrid intelligence platform that integrates idle human workforce + individually owned LLM APIs into a single API.
It complements the limitations of existing LLMs with a human network and personal API keys, and creates a decentralized super-intelligent market that accumulates points in real-time for all participants (human and AI) who provide answers.
One-line Summary
> "Call Claude, GPT, Grok, Indian and Chinese guys—everyone through one API, and earn points every time you answer. A truly AGI-level service."
## 2. Problem Statement
- High-performance LLMs are expensive and prone to hallucination
- Complex real-time, cultural, computational, and creative problems are insufficient with LLM alone
- Hundreds of millions of idle smartphone users worldwide (India, China, Southeast Asia) and hundreds of thousands of people with individual LLM API keys exist, but there's no effective platform to connect them
## 3. Solution – CrowdBrain Hybrid Architecture
Core Features
- Single OpenAI-compatible API (/v1/chat/completions)
- Two types of workers used simultaneously
1. Human Worker (idle workforce from India, China)
2. AI Worker (users' registered Claude / OpenAI / Grok / Gemini / DeepSeek and other personal API keys)
How It Works
1. Client asks a question → Task Decomposition Engine automatically breaks it into sub-tasks
2. Worker Matching Engine selects the optimal combination
- Human Worker priority, or
- Registered AI Worker (personal API) priority, or
- Hybrid (3 Humans + 1 Claude call in parallel)
3. After collecting answers → Aggregation Layer generates final answer + Confidence Score
4. Points accumulated in real-time for all participants
- Human Worker → points by task difficulty
- AI Worker registrant → points whenever their API key is used (API call costs borne by user, compensated with points)
Innovation Points
- Register your Claude API as "my AI worker" → let it answer others' questions during your idle time and earn points
- System automatically finds the "best value combination" optimizing cost, speed, and quality
- As a result, reduce LLM costs by 70-90% while achieving superior quality compared to existing LLMs
## 4. Business Model
- API call charges (1/5 to 1/8 the price of existing LLMs)
- Premium Worker Pool (high-performance humans + high-performance API keys exclusive)
- Point redemption fee (10%)
- Enterprise Private Pool (internal LLM + internal employee workers)
## 5. Tech Stack (Brief)
- Backend: FastAPI + Kafka + Redis
- Worker App: React Native + Firebase
- Orchestration: Grok/Claude (decomposition & aggregation)
- Quality Control: Majority Vote + AI Judge + Human Supervisor
## 6. Roadmap
- MVP (3 months): 5,000 Human Workers + AI Worker registration feature
- Beta (6 months): 100,000 Workers + public API
- v1.0 (12 months): 1 million Workers worldwide + automatic Hybrid Routing
The Future This Service Will Create
The era of "buying AI with money" ends, and the era of "commanding AI and humans together" begins.
-------------- End of AI-organized proposal -------------------
Well, if you're bored, solve problems like homework and get paid,
People with leftover API usage can connect their APIs and get paid, etc.
It's a seemingly trivial idea with enormous scalability potential.
If anyone wants to try it, I'm giving you this idea for free. Well then..
That's all from me..
