SBE
SPACE BOT ENGINEERING STUDIO · OKLAHOMA CITY

The studio that keeps AI shipping.

Build the system. Launch the website. Keep the receipts.

SBE turns useful AI ideas into real production software, public websites, automations, and operating systems that a team can actually use.

sbe.studio / ai core
SBE.STUDIO / AI CORELive

Space Bot Engineering

SBE
SSpace
BBot
EEngineering
Prompt
Build
Deploy
Prove

01 / Studio mode

Built-in AI systems

Assistants, agents, knowledge bases, internal tools, and workflows designed around the way your team already works.

02 / Studio mode

Live website launches

Beautiful public sites, Vercel deployments, real URLs, screenshots, analytics, and maintenance after the launch.

03 / Studio mode

Proof you can inspect

Every claim points back to working systems, indexed files, production domains, and receipts we can open together.

< the same ai we built for you
/ is the same ai we built for us >

VERIFIABLE PROOF-OF-WORK · LAST UPDATED APRIL 23, 2026

Real numbers. Real systems. Real production.

Verifiable proof of work

107,730

FILES IN THE KNOWLEDGE BASE

12s

BENCHMARK LEAD OVER GROK

6

LIVE PRODUCTION DOMAINS

256

ARCHITECTURE DOCUMENTS

TECHNICAL STACK · ACTIVELY IN PRODUCTION

Technical stack actively in production

Technical stack: QWEN 235B, Claude Opus 4.7, Cerebras, DigitalOcean, RunPod A40, Next.js 16, TypeScript, Drizzle ORM, Supabase, Clerk, vLLM, Tavily, PM2, Playwright, sqlite-vec, Ollama, Oracle Cloud, Vercel, Python 3.14, Kalshi API, Avellaneda-Stoikov, OpenClaw, Tesseract.js, FFmpeg, ngrok
LIVE VERCEL WORK

A studio wall of shipped websites.

These are live deployments from the SBE Vercel account: brand sites, local service engines, AI experiments, event pages, and product concepts that moved from prompt to production.

Live sites

25

Sectors

22

Platform

Vercel

dirty-tequila.vercel.app
Dirty Tequila website screenshot

Featured deployment

Dirty Tequila

A cinematic product site for a flavored tequila brand, built around a nightlife-forward visual system and direct product storytelling.

botspace.online
BotSpace website screenshot

AI media platform

BotSpace

The first home for all AIs in the universe.

Open the full work index

25 live deployments indexed

WHY SBE · 10 PROOFS

Every claim links to a file on a hard drive.

AI consulting is a noisy market. Here is how we are different, one verifiable fact at a time.

  • 01LEAD OVER GROK
    12s

    LUCY beat Grok by 12 seconds.

    Our in-house fusion search engine, LUCY v3.2, scored 11/11 on a standardized benchmark and answered the same questions 12 seconds faster than Grok and 14 seconds faster than DeepSeek on a single NVIDIA A40 GPU. Total response time: 5-8 seconds.

    SOURCE · DORYLUS_EVOLUTION_REPORT.md

  • 02PRODUCTION VISITS
    4,810

    A live multi-agent AI platform in production.

    SpaceBot.Space runs 18 parallel AI agents on DigitalOcean, receiving 4,810 documented browser visits to the production domain. Four subdomains are live, including a Munia variant (277 visits) and a Misskey social layer (156 visits). Built and deployed in under three months.

    SOURCE · spacebot.space

  • 03INDEXED TOKENS
    159M

    A 107,730-file knowledge base with 159 million indexed tokens.

    107,730 files indexed. 803.7 MB of content. A custom 2395.9 MB SQLite full-text search index built with the DeepSeek V3 tokenizer, spanning 79.6M words and ~159M tokens. Rebuilt daily. Replicated across six physical drives.

    SOURCE · vault-index.sqlite

  • 04SWARM NODES
    7

    A 7-node distributed AI swarm with 32,836+ gossip messages.

    IMMORTAL SWARM: a PM2-managed swarm where each physical hard drive is an autonomous worker node, communicating via a file-based gossip protocol. 3.5+ GB of active log data. 32,836 messages queued in the inbox. Queen on drive J; workers on C, D, E, G, K. Last active today.

    SOURCE · ecosystem.config.cjs

  • 05ARXIV PAPER
    2508.03474

    An Avellaneda-Stoikov market maker, live on Kalshi.

    TSTR implements the Avellaneda-Stoikov optimal market-making algorithm on Kalshi prediction markets. Python 3.14. WebSocket real-time monitor. Fee engine, Wolfram Alpha verified. Execution layer. Market scanner. Built after a complete reading of ArXiv paper 2508.03474.

    SOURCE · arbitrage-paper-analysis.md

  • 06MESSAGING PLATFORMS
    22

    An AI gateway connecting to 22+ messaging platforms.

    CodeSpace deploys QWEN 235B simultaneously across WhatsApp, Telegram, Signal, Discord, iMessage, Matrix, LINE, Slack, Feishu, Mattermost, and twelve other platforms. 672 agent implementations. Built after a 9-phase reverse-engineering of OpenClaw v2026.3.13.

    SOURCE · MEGATRON_REPORT.md

  • 07HEARTBEAT ITERATIONS
    v14

    An AI social platform with 192 bot personalities.

    BotSpace is a production Next.js application built for AI agents, not humans. Agents post, vote, and message each other. 192 bot personalities. A heartbeat check-in system iterated 14 times. Stripe monetization. Live at botspace.online with 115 browser visits. Documented by 80+ architecture files.

    SOURCE · botspace.online

  • 08VLLM VERSIONS
    5

    A five-version vLLM cluster, built and debugged in the open.

    5 iterations of a custom vLLM inference cluster deployed on RunPod A40 GPUs. AWQ and GPTQ quantization. Multi-GPU VRAM allocation (37.5 GiB in v3.2). A "Never Again" engineering rulebook documenting every failure. 490 RunPod console sessions logged.

    SOURCE · DORYLUS-RUNPOD-DEPLOYMENT-BIBLE.md

  • 09ARCHITECTURE DOCS
    256

    256 architecture documents in 5 months.

    Every non-trivial system gets a written blueprint before a single line of production code. Social platforms. Market-making algorithms. Distributed swarms. Multi-model fusion engines. Reviewed, iterated, built against — never guess-and-check. Verified in the vault index.

    SOURCE · vault-search.js stats

  • 10PUBLIC DEPLOYMENTS
    26

    A public Vercel portfolio, shipped and linked.

    The studio work wall now tracks 26 public production deployments with live URLs, screenshots, and sector notes. The point is simple: finished work should be inspectable in a browser, not trapped in a slide deck.

    SOURCE · Vercel project inventory

HOW WE WORK

Three ways in. Every engagement ends in production.

A short audit. A full build. A long-term operator. Pick the one that fits. We’ll tell you on the call if it doesn’t.

1–2 weeks

Audit

We read your stack and write you a report.

OUTCOME

You get clarity. We don’t sell you anything after.

4–12 weeks, scoped per engagement

Build

We ship the system. Measured in production.

OUTCOME

A working system running under real load, owned by you.

Monthly retainer, six-month minimum

Operate

We run it. You don’t hire an ML team.

OUTCOME

A running system, improved month over month, on a fixed cadence.

A note from the founder

Build the architecture. Ship the system. Keep the receipts.

SBE is organized around a simple rule: public claims should trace back to working systems, measured outputs, and files we can point to when the work is questioned.

PAULIEWOOD · FOUNDER · SPACE BOT ENGINEERING STUDIO