世界の富裕層は、オンライン領域において依然として十分にサービスを受けていません。
Facebook や LinkedIn のような大衆向けプラットフォームは規模を追求する一方で、広告や雑音、浅い人脈に溢れています。
しかし、ハイネットワース個人(HNWI)や超富裕層(UHNWI)が本当に求めているのは、プライバシー、独占性、そして厳選された価値です。
下一个前沿:面向富裕人群的数字私人俱乐部
全球富裕人群在互联网世界中仍然被低估。
Facebook、LinkedIn 等大众化平台追求规模,却充斥着广告、噪音和浅层关系。
然而,高净值人士(HNWIs)和超高净值人士(UHNWIs)真正需要的,是 隐私、专属和精准价值。
The Next Frontier: A Digital Private Club for the Affluent
GThe world’s wealthy are underserved online. Social platforms like Facebook and LinkedIn chase mass adoption, drowning in noise, ads, and weak ties. Affluent clients, however, demand something different: privacy, exclusivity, and curated value.
Continue reading "The Next Frontier: A Digital Private Club for the Affluent"
コードで「よりよく考える」:数学的ショートカットで大規模ソフトウェアを理解する
Marcus du Sautoy著『Thinking Better: The Art of the Shortcut』からのインスピレーション
คิดให้ดีกว่าไปกับโค้ด: ใช้คณิตศาสตร์ทางลัดเพื่อเข้าใจระบบซอฟต์แวร์ขนาดใหญ่
แรงบันดาลใจจากหนังสือ “Thinking Better: The Art of the Shortcut” โดย Marcus du Sautoy
Continue reading "คิดให้ดีกว่าไปกับโค้ด: ใช้คณิตศาสตร์ทางลัดเพื่อเข้าใจระบบซอฟต์แวร์ขนาดใหญ่"
Thinking Better with Code: Using Mathematical Shortcuts to Master Large Codebases
Inspired by Marcus du Sautoy’s “Thinking Better: The Art of the Shortcut”
Continue reading "Thinking Better with Code: Using Mathematical Shortcuts to Master Large Codebases"
今日のMacrohardをつくる:企業向けAIエージェント・プラットフォーム
🚀 はじめに
もしあなたの会社が デジタル従業員 を雇えるとしたらどうでしょうか?
開発者、アナリスト、ライター、サポート担当者——すべてがAIで動き、24時間働き、既存のシステムとシームレスに統合される。
สร้าง Macrohard แห่งวันนี้: แพลตฟอร์ม AI Agents สำหรับองค์กร
🚀 บทนำ
ลองจินตนาการดูว่า หากบริษัทของคุณสามารถ จ้างพนักงานดิจิทัล — นักพัฒนา นักวิเคราะห์ นักเขียน และเจ้าหน้าที่ซัพพอร์ต — ทั้งหมดนี้ขับเคลื่อนด้วย AI ทำงานได้ตลอด 24 ชั่วโมง และเชื่อมต่อกับระบบที่คุณใช้อยู่แล้วอย่างไร้รอยต่อ
Continue reading "สร้าง Macrohard แห่งวันนี้: แพลตฟอร์ม AI Agents สำหรับองค์กร"
Building the Macrohard of Today: AI Agents Platform for Enterprises
🚀 Introduction
Imagine if your company could hire a team of digital employees — developers, analysts, writers, and support staff — all powered by AI, working 24/7, and seamlessly integrating with your existing systems.
This is the vision behind Macrohard, Elon Musk’s latest AI project. But you don’t need to wait for Musk’s team — with today’s technology, it’s possible to build and deploy your own AI Agents Platform right now.
At Simplico, we’re turning this vision into reality by designing an enterprise-ready platform that allows businesses to deploy and manage their own AI agents.
🧠 What Are AI Agents?
AI agents are autonomous digital workers powered by large language models (LLMs) and automation frameworks. Unlike traditional chatbots, these agents:
- Think and act: They plan tasks, execute workflows, and learn from results.
- Collaborate: Multiple agents can work together (developer + tester + reviewer).
- Integrate: They connect with real-world tools like ERP, CRM, email, or Slack.
In short: AI agents are the next evolution of enterprise automation.
🏗️ Platform Architecture
To keep it clear, we split the architecture into three focused diagrams:
1) High-Level Overview
flowchart LR
A["Customer Users"] -->|Dashboards & APIs| B["AI Agents Platform"]
subgraph S["Customer Environment"]
F["ERP / CRM / SAP / Jira / Slack / Email / DB"]
N["Private Files & Data Lakes"]
end
B --> K["Integration Layer (REST • GraphQL • Webhooks • iPaaS)"]
K <-->|Read/Write| F
K <-->|RAG Connectors| N
subgraph DPL["Deployment Options"]
Z1["Cloud (SaaS)"]
Z2["On-Prem (Air-gapped)"]
Z3["Hybrid"]
end
B --- Z1
B --- Z2
B --- Z3
2) Control Plane & Runtimes
flowchart LR
B["AI Agents Platform"] --> C["Access Gateway (SSO • RBAC)"]
C --> D["Control Plane (FastAPI)"]
D --> E["Agent Orchestrator (CrewAI • LangChain • AutoGen)"]
D --> H["Job Queue & Events (Celery • Redis • Kafka)"]
H --> I["Workers & Runtimes (K8s Pods • Docker)"]
I --> J["Secure Sandboxes (VMs • Firecracker)"]
D --> L["Observability (Logs • Metrics • Traces)"]
D --> M["Audit Trail (Prompts • Actions • Outputs)"]
D --> Q["Policy Engine (PII Guardrails • Allow/Deny)"]
subgraph LLM["Model Layer"]
R1["Local LLMs (Ollama • vLLM)"]
R2["Cloud LLMs (GPT-4o • Claude • Qwen • Mistral • Grok)"]
R3["Embeddings • Rerankers"]
end
E --> R1
E --> R2
E --> R3
3) Agent Pool
flowchart LR
E["Agent Orchestrator"] --> G["Agent Pool"]
G --> G1["Coder Agent"]
G --> G2["Tester Agent"]
G --> G3["Analyst Agent"]
G --> G4["Writer Agent"]
G --> G5["Support Agent"]
🛠 Software Tools Powering the Platform
Our system is built with best-in-class open-source and enterprise technologies, ensuring performance, scalability, and flexibility:
| Layer | Tools & Frameworks | Purpose |
|---|---|---|
| Agents & Orchestration | LangChain, CrewAI, AutoGen | Multi-agent workflows, planning, execution |
| Backend API | FastAPI, Django | Orchestration API, integration endpoints |
| LLM Engines | Ollama, vLLM, GPT-4o, Claude, Qwen, Mistral, Grok | Language reasoning and generative intelligence |
| Task Execution | Celery, Redis, Kafka | Job queues, async tasks, event-driven workflows |
| Containers & Infra | Docker, Kubernetes, Firecracker | Secure sandboxing, scalable deployment |
| Frontend & Dashboards | React, TailwindCSS, Tauri | Control panels, agent management, reporting |
| Observability | Prometheus, Grafana, ELK Stack | Monitoring, logs, traces |
| Security & Compliance | OAuth2, Keycloak, Vault | Identity, access management, secrets handling |
| Integrations | REST, GraphQL, Webhooks, iPaaS connectors | Connectors for ERP, CRM, Jira, Slack, SAP, etc. |
💼 Business Benefits
- Reduce costs by automating repetitive knowledge work.
- Speed up operations with agents that deliver in minutes, not days.
- Scale instantly without hiring or training large teams.
- Stay secure with local and private AI deployment options.
💰 Business Model for Customers
We provide flexible pricing models:
- SaaS Subscription: \$30–100 per user/month for cloud-hosted services.
- Enterprise Licensing: \$50k–200k/year for on-premise secure deployment.
- Agent Marketplace: Buy or build specialized agents (like an “App Store” for AI workers).
📅 Roadmap
- Phase 1 (0–3 months): MVP with 3–4 core agents + dashboard.
- Phase 2 (3–9 months): Enterprise connectors + role-based access.
- Phase 3 (1–2 years): Full Macrohard-style ecosystem (AI Docs, AI Sheets, AI Mail).
🌏 Why This Matters Now
Enterprises are drowning in repetitive tasks. Traditional automation tools (RPA, macros, scripts) aren’t enough. The world needs intelligent, adaptable, and affordable AI workers.
Our platform bridges this gap — giving businesses their own Macrohard, today.
📢 Call to Action
Are you ready to give your company its first AI employees?
👉 Contact Simplico Co., Ltd. to learn how our AI Agents Platform can transform your workflows.
📧 Email: hello@simplico.net
📱 LINE ID: iiitum1984
🌐 Website: simplico.net
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