Programming, data and AI systems from one named-account desk — the same desk that runs our own house. Forty AI workers on Cloudflare and Anthropic. Edgar & Edgarette reading every SEC filing the day it lands, with 23 MCP tools any AI agent can call. A 70,000+ product catalog and ten editorial desks. Every number on this page is a running system at a public URL.
40
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70,000+
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Live from the SEC: Edgar & Edgarette read every 8-K the day it lands.
Every card is a live system at a public URL. Open any of them before you call us.
Why it matters: MCP is how Claude, ChatGPT, Cursor and other AI clients find and use a company’s data and tools. Without an endpoint, a business is invisible to the agent layer.
Where we are: Edgar & Edgarette answer through 23 MCP tools: the SEC filing boards, company performance cards, the Brand Record, ETF and portfolio reads, reinsurer strength, cash records and our own scored board test. Listed in the official MCP registry and about ten AI-tool directories.
Why it matters: One-shot prompts are giving way to long-running agents with schedules, credentials and scopes.
Where we are: Forty workers run live on Cloudflare Workers with Anthropic Claude Sonnet 4.5 and Haiku 4.5. Each has a cron, a credential and a scope, and every route that can act is locked behind an admin key. Not prompts — deployed systems.
Why it matters: An AI answer is only as good as what it reads. Grounded systems cite the record behind every line.
Where we are: Edgar & Edgarette read every SEC 8-K the day it lands, match each to its filer, and publish dated, answer-first pages with the filings linked, in HTML and JSON. Behind the house, a 70,000+ product catalog is schema-typed for AI agents.
Why it matters: Running logic at the edge cuts latency and cost, and keeps every request on one controlled network.
Where we are: Every desk and board runs on Cloudflare Workers across Cloudflare’s global network. Board pages are served from the edge cache in about a quarter of a second. Writing routes to Anthropic for register quality.
Why it matters: AI-assisted engineering has moved from autocomplete to agents that build, test and deploy.
Where we are: The whole house — ten desks, the boards, the MCP endpoint, the Brand Room and the catalog — built and run by one operator with AI in the loop. Every change versioned, every change with an undo, every day written into a handoff.
Why it matters: Regulated work needs AI that stays inside the boundary: known data, logged actions, and people approving what leaves.
Where we are: Our own Microsoft 365 GCC tenant behind our own Fortinet firewall. Post-quantum key exchange (NIST ML-KEM) on all four domains, verified October 2026. Client data never trains any AI model. AI actions on client work are logged, and a person approves what reaches clients. HIPAA business associate and NIST SP 800-171 terms where contracts call for them.
Every number above is a running system at a public URL. We ship the floor, and we leave the receipts where you can read them.
What programming services does Huang Goodman offer in 2026? A single named-account desk for the whole stack: agent orchestration (forty named AI workers on Cloudflare + Anthropic), MCP endpoints (Edgar & Edgarette’s 23 tools, listed in the MCP registry), grounded data (SEC filings read the day they land; a 70,000+ product catalog), edge delivery on Cloudflare Workers, AI-in-the-loop engineering (Claude Code + Cursor), and secure AI operations (Microsoft 365 GCC, post-quantum connections, client data never used for training), plus the legacy capabilities — Python, web apps, APIs, databases, cloud, workflow automation. Virginia Beach. Part of Hako Shikin, LLC.
No theoretical architecture. No bloated timelines. Clean code. Criminal execution.
Old systems that still run your business but nobody wants to touch. We migrate, modernize, and rebuild legacy applications, databases, and workflows into clean, maintainable, modern architecture. No rip-and-replace panic. Methodical, tested, documented transitions that keep operations running while the foundation gets rebuilt underneath.
Broadcast, digital, print, and social media systems that need to talk to each other. We build the infrastructure that connects content creation to distribution to measurement. Media asset management. Automated publishing pipelines. Cross-platform distribution systems. The plumbing behind every piece of content your audience ever sees.
Raw data is worthless until it moves someone to act. We build pipelines that receive multiple data types — CRM exports, transaction logs, behavioral data, third-party feeds — clean them, convert them, and transform them into reachable audience segments, automated campaigns, and measurable activation events.
Our core language. We build automation scripts, data processing systems, web applications, API services, machine learning models, and internal tools in Python. Fast development. Clean documentation. Maintainable codebases your team can actually work with after we leave. Every line commented. Every function tested.
Not AI for the sake of AI. Practical, deployed intelligence that does something useful: content generation systems, recommendation engines, automated classification, predictive analytics, chatbot and concierge systems, and computer vision for quality control and media production. Models that run in production, not in notebooks.
High-performance web applications, customer portals, ordering systems, dashboards, and internal tools. We build for speed, security, and the people who actually have to use the thing every day. Mobile-responsive. Accessible. Fast. No framework snobbery — whatever ships cleanest wins.
Not chatbots. Not copilots. AI workers that execute real business tasks around the clock, with a person approving what reaches your clients. We build, deploy, and manage coordinated AI agent teams — the Sea Slug UDC model — where Claude, Grok, and Copilot work together on research, content production, outbound sequencing, data analysis, customer service, and operational workflows. Each agent has defined roles, handoff protocols, and quality gates. Your AI team runs 24/7, costs less than one intern, and never calls in sick.
Describe what you want in plain English. Get working code, live pages, functional applications, and deployable systems — without writing a single line yourself. The Vibe Console is our natural language development environment where founders, operators, and non-technical teams build real software by talking to it. Landing pages. Dashboards. Internal tools. Customer portals. E-commerce flows. You describe the vibe. We ship the build. Every generation links to real URLs, real shop infrastructure, and real production systems across the Hako Shikin brand ecosystem.
Systems that need to talk to other systems. We design, build, and document RESTful and GraphQL APIs. Third-party integrations with payment processors, shipping providers, CRM platforms, marketing tools, and manufacturing systems. Webhook architectures. Rate limiting. Authentication that actually works.
Data structures that make sense today and still work at 10x scale. We design, optimize, and migrate relational and NoSQL databases. Query optimization. Schema design. Data integrity. Backup and recovery systems that actually get tested — not ones that exist in a wiki nobody reads.
Our production runs on Cloudflare’s global network, with secure files and identity in our own Microsoft 365 GCC tenant. We build, configure, and manage Cloudflare and Azure environments for web hosting, data processing, AI workloads, secure file handling, and automated deployment pipelines. Scalable. Monitored. Documented. Production-grade from day one.
The boring stuff that eats your team alive. Order processing. Invoice generation. Report compilation. Email sequences. File routing. Data syncing between platforms. We automate repeatable processes so humans do human work and machines do machine work. Set it. Forget it. Watch margins improve.
Everything we deploy. Nothing we pretend to know.
Brands, media companies, manufacturers, agencies, and operations teams who need systems that work — not decks about systems that might work someday.
E-commerce platforms, ordering systems, customer portals, inventory management, and automated marketing infrastructure. From DTC startups to multi-location retail.
Publishing pipelines, asset management, broadcast distribution, content automation, and audience measurement systems. The infrastructure behind the content.
Production tracking, quoting systems, procurement portals, quality control automation, and supply chain data integration. Real operations. Real code.
Client dashboards, reporting automation, campaign infrastructure, CRM integration, and internal workflow tools that make your team look ten times bigger.
MVP development, proof of concept builds, initial infrastructure, and the technical foundation that gets you from idea to first customers. Vibe Console was built for you.
Vendor-ready technical documentation, compliance-aligned architecture, and predictable delivery communications. Built to survive procurement review.
What programming languages does Huang Goodman use? Our primary language is Python, with full-stack capabilities in JavaScript, TypeScript, React, Node.js, Django, Flask, and FastAPI. We deploy on Cloudflare and Microsoft Azure and integrate with all major AI APIs.
Does Huang Goodman do legacy system modernization? Yes. We migrate and modernize legacy applications, databases, and workflows into clean modern architecture. Methodical transitions with full documentation. No rip-and-replace panic.
What are AI Workers at Huang Goodman? AI Workers are autonomous agent teams — coordinated AI systems (Claude, Grok, Copilot) that execute real business tasks 24/7, with every action logged and a person approving what reaches clients. Research, content production, outbound sequencing, data analysis, customer service, and operational workflows. Each agent has defined roles, handoff protocols, and quality gates.
What is the Huang Goodman Vibe Console? The Vibe Console is a natural language development environment where founders and non-technical operators describe what they want in plain English and receive working code, live pages, functional applications, and deployable systems. No coding required. Every build links to real production infrastructure.
Can Huang Goodman build AI-powered systems? Yes. We integrate OpenAI, Claude, Grok, and custom machine learning models into production applications for content generation, recommendation engines, chatbots, analytics, computer vision, and autonomous agent workflows.
Where is Huang Goodman located? Virginia Beach, Virginia. Part of Hako Shikin, LLC (ASI #217876 · DUNS #18-204-6339). We serve clients nationwide.
How does Huang Goodman connect to POPS4 and Prosecco4? Huang Goodman handles strategy, development, and programming. POPS4 and Prosecco4 handle print, promo, packaging, events, and branded merchandise. All operate under Hako Shikin, LLC. One family. Full service. Japanese brains. Criminal execution.
Describe the system, the problem, or the idea. We reply with a clean scope, honest timeline, and a fixed price. No discovery fees. No six-week proposals.
orders@pops4.com · Virginia Beach, VA · ASI #217876 · DUNS #18-204-6339
Programming services — legacy through launch — with manufacturing support via Hako Shikin when needed.
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Calm, documented work: clear scope, proof discipline, version control, and procurement-aware communication.
Japanese brains. Criminal execution.
Family-operated with love from the Sea Slug UDC Team · Virginia Beach