# Genrikh: Building a $0-Marginal-Cost Universal AI Problem Solver with Gemma 2, Sentry & ElevenLabs

> Source: <https://dev.to/torrua/genrikh-building-a-0-marginal-cost-universal-ai-problem-solver-with-gemma-2-sentry-elevenlabs-22bh>
> Published: 2026-10-15 06:29:18+00:00

*Submission for the [Hacktoberfest Open-Source AI Challenge: Week 2 — Side Hustle](https://dev.to/challenges/hacktoberfest-week2-2026-10-12).*

**Repository:** [github.com/torrua/triz-universal](https://github.com/torrua/triz-universal)

**Author:** [@torrua](https://dev.to/torrua)

**Target Partner Tracks:** Best Use of Gemma, Best Use of Sentry Agent Tracing, Best Use of Render, Best Use of ElevenLabs

In 1946, Soviet inventor and patent examiner **Genrikh Saulovich Altshuller (1926–1998)** began reviewing thousands of breakthrough inventions to answer an audacious question: *Is inventive genius a genetic lottery, or is it an exact algorithmic science?*

Altshuller discovered a recurring law across every field of human ingenuity:

**Real innovation is NOT compromise.**

Conventional thinking resolves conflicting requirements by meeting in the middle: buying more hardware to handle unoptimized code, crippling battery life for faster sensor reads, or raising prices to cover cloud overhead.

**Inventive thinking sharpens the conflict into an atomic Physical Contradiction and eliminates it completely using latent resources already present in the system.**

Altshuller formalized this into **TRIZ** (Theory of Inventive Problem Solving) and the rigorous **ARIZ** algorithm.

When modern AI chatbots encounter tough trade-offs, they default to lazy, expensive platitudes: *"In the real world, trade-offs are inevitable. You should purchase an enterprise Redis cluster or scale your cloud instances."*

I built **Genrikh** to change that.

**Genrikh** is an autonomous, open-source AI problem solver that brings classical ARIZ algorithmic rigor to modern engineering, hardware, and business systems—with **$0 marginal cost** and **100% intellectual property privacy**.

When solo-founders, freelance developers, and small engineering teams build products, they hit crippling deadlocks:

Hiring a human senior architect or patent attorney costs **$250–$400/hour**.

With **Genrikh**, any freelance engineer or consultant can run an audit in 60 seconds and deliver:

Large Language Models tend to hallucinate or invent post-hoc justifications if asked for an answer directly. To enforce scientific rigor, Genrikh implements a **Dual-Loop Execution Pipeline**:

```
flowchart TD
    subgraph Loop1["Loop 1: Deep Methodological Reasoning (Internal State Lock)"]
        S0["Step 0: Limit & Constraint Pre-Check<br/>(Hard vs Soft vs Assumptions)"] --> S1["Step 1: Mini-Problem & IFR Framing<br/>(Zero Added Cost Goal)"]
        S1 --> S2["Step 2: Sharpen Physical Contradiction<br/>(Element X must be P and NOT-P)"]
        S2 --> S3["Step 3: Substance-Field Resource Audit (VPR)<br/>(Latent System Resources)"]
        S3 --> S4["Step 4: Resolution Strategies<br/>(Space, Time, Condition, Structure, Satisfy, Bypass)"]
        S4 --> S5["Step 5: Verification & Secondary Harm Audit<br/>(Empirical Experiment & Metric Plan)"]
    end

    subgraph Loop2["Loop 2: Contextual Output Delivery (Progressive Disclosure)"]
        L1["Layer 1: Plain-Language Executive Core<br/>(Zero Jargon for Clients & Management)"]
        L2["Layer 2: Professional TRIZ Passport<br/>(Auditable Specs for Patent & Tech Leads)"]
        L3["Layer 3: ElevenLabs Audio Debriefing<br/>(Spoken Voice Briefing for Pitches)"]
    end

    Loop1 --> Loop2
    S5 -.->|Locks State| L1
    S5 -.->|Locks State| L2
    S5 -.->|Locks State| L3
```

For consultants dealing with trade secrets, proprietary schemas, and pre-patent hardware designs, **data privacy is non-negotiable**. You cannot legally paste client IP into commercial closed-source APIs.

Genrikh uses **Google Gemma 2** running locally via Ollama (`http://localhost:11434`) as its primary intelligence engine:

`<start_of_turn>user ... <end_of_turn>`).` google-genai`) when high cloud throughput is desired.
AI agents must not be black boxes. Genrikh integrates **Sentry Agent Tracing** to instrument every phase of the ARIZ pipeline:

`genrikh.step0_constraints`, `genrikh.step1_mini_problem`, `genrikh.step2_physical_contradiction`, `genrikh.step3_resources`, `genrikh.step4_strategies`, and `genrikh.step5_dual_loop`.

```
with trace_ariz_step("step2_physical_contradiction", {"param_a": param_a, "param_b": param_b}):
    pc = sharpen_physical_contradiction(problem, param_a, param_b)
```

Deploying the consultant for your team or agency takes 60 seconds with **Render**:

`render.yaml`.` Dockerfile` running the FastAPI dashboard.
Consultants often pitch to non-technical stakeholders (founders, CFOs, product managers) who don't have time to read a 10-page technical memo.

`genrikh/voice.py`).`.mp3`), delivering the core architectural decision and ROI metrics in under 60 seconds.
We created an automated benchmark suite (`examples/gemma2_benchmark.py`) testing Genrikh across three distinct domains:

| Dilemma | Contradiction | ARIZ Resolution | Outcome | 
|---|---|---|---|
| **Software:** Offline Mobile Invoicing | DB must be locked for consistency AND unlocked for 0ms UX | Principles #4 (Asymmetry), #10 (Preliminary Action), #2 (Extraction) | **$0 cloud lock cost** , 0ms local mutation latency | 
| **Physical IoT:** Wearable Health Sensor | High sampling frequency vs Coin-cell battery life | Principles #19 (Periodic Action), #16 (Partial/Excessive Action) | **Battery life extended from 8h to 34 days** | 
| **Micro-SaaS:** 10,000 RPS Viral Launch | High read concurrency vs $20/mo VPS memory bounds | Principles #28 (Mechanics Substitution) & #10 (Preliminary Action) | **98% edge cache hit rate** , $0 added DB cost | 

**Benchmark Score:** 100% contradictions resolved without introducing middle-ground trade-offs.

```
git clone https://github.com/torrua/triz-universal.git
cd triz-universal
pip install -e .
genrikh solve \
  --problem "High database read concurrency locks write transactions" \
  --param-a "Read Concurrency" \
  --param-b "Write Latency & Storage Cost"
genrikh consult --template freelancer_offline_sync --voice --voice-out briefing.mp3
genrikh serve --port 8000
```

Genrikh also serves as an agent skill bundle for **Google Antigravity**, **Claude Code**, and **Cursor** (`skills/triz-universal`), including all 16 canonical reference manuals and the complete Altshuller 39x39 contradiction matrix.

If you believe that true engineering means eliminating compromises rather than settling for them, give the project a star on GitHub! ⭐