We Build Systems
That Run Without You

The Problem

Managing a portfolio of 199 projects, 132 domains, 4 servers, and 15 AI agents across 3 providers required a central command system. Manual task assignment, progress tracking, and code review at this scale — impossible for any single operator.

Our Solution

We designed and deployed GODMODE Command Center — an autonomous AI orchestration engine with a self-learning system that improves with every cycle.

Pure Python 3. Zero external dependencies. Embedded dashboard. 12,500+ LOC.

Key Features

• 3-Level Review Gate — L1: instant quality gate → L2: AI semantic review → L3: human approval via Telegram (✅/❌)
• Self-Learning Engine — 51+ lessons captured from every cycle. Agents never repeat the same failure twice
• Atomic Task Claiming — SQLite transactions prevent duplicate work when agents run in parallel
• AI Brainstorm Lab — scoring: Revenue(3x) + Speed(2.5x) + Competition(1.5x) + Passion(2x)
• Domain Management — 132 domains, expiry alerts, renewal tracking
• 144 orchestration cycles/day (every 10 minutes)

Why It Matters

This isn't a project management tool — it's an autonomous engineering department. The system assigns tasks, executes them via AI agents, reviews output quality in 3 layers, and learns from every result.

One operator can now manage the equivalent workload of a 15-person engineering team. The cost: ~$153/month for the entire infrastructure.

This exact system is the one managing your project when you work with GOD.SOFTWARE.

The Problem

Building organic presence on X/Twitter demands 4–6 hours daily: content creation, scheduling, engagement, performance analysis, image generation. With a single operator managing 199 projects — manual execution is impossible.

Our Solution

We engineered 12 core + 15 supporting microservices — a complete autonomous pipeline from AI content generation to algorithm-aware engagement.

Node.js + Puppeteer stealth. Algorithm-native engagement logic. 10,056+ LOC.

Algorithm-Aware Engagement

The system doesn't just post — it targets interactions ranked by the X algorithm's 2024-2026 weighting model:

Content Intelligence

• Dual-provider AI Brain — Claude Sonnet primary → Groq Llama 3.3 70B fallback
• 240–280 char targeting — triggers "Show More" algo boost
• Ends with question — triggers 27× conversation signal on every post
• Real numbers only — no fake stats, only verified metrics
• 28 targeting queries — VIP: @naval, @paulg, @sama + niche keywords
• Safe limits — 15 replies/day, max 1 reply per user per 7 days
• Content regenerates hourly — queue always has 8+ posts ready

The Problem

A frontier AI startup needed to compete with established research labs for investor attention — without months of build time. Required: credible brand, technical depth, automated investor outreach, invite-only community, and full analytics. All without 3rd-party SaaS.

Our Solution

We delivered 5 integrated production services creating a complete startup ecosystem — positioned as a Post-Transformer AI laboratory competing in the $2T+ TAM.

Pure Python 3. Zero external dependencies. 3,578+ LOC. Live in 3 weeks.

Brand & Content Architecture

• 40+ pages — blog (Transformers, RMA, TIG, Dark Cognition, Eigenintelligence...), whitepaper, solutions, glossary
• 4 Foundation Models — VOID (reasoning), QUALIA (multimodal), NEXUS (real-time), ZERO (efficient edge)
• Investor gates — gated pages with invite codes, converting leads to demo requests
• Positioning — "Post-transformer intelligence", London / Wroclaw / New York
• Three.js interactive terminal UI with real-time system status visualization

Security & Infrastructure

• 3-level rate limiting — 10 req/s API, 2 req/min forms, 5 req/min chat
• Security headers — HSTS, CSP, X-Frame-Options, X-Content-Type-Options
• 8+ subdomains — a1–a4.iqiuu.com, chat.iqiuu.com, status, g
• Auto SSL renewal via Let's Encrypt / Traefik integration
• 10+ DB tables — analytics sessions, leads, chat conversations, memory