AI Systems Guide

Choose the right AI for your goal

From coding beginners to enterprise projects — 4 AI systems, each solving a different problem

Positioning Matrix

Where each system sits by autonomy and output type

AI AutonomousHuman-Driven

AI Agent

Alliance

Avalon3

Colligi

Code GenerationAnalysis · Decision

AI Agent

From idea to code, automatically

Solo Devs · Beginners · Students

Problem

Need to design project structure, write code, test, and debug all by yourself?

Solution

A single prompt triggers a 7-stage pipeline. Design → Test → Code → Self-Heal — all handled by AI automatically.

Pipeline — 7 stages

1

Research

Analyze request + recommend language/framework

2

Architect

Auto-generate PRD, file structure, API spec

3

Test Designer

TDD approach — tests come before code

4

Coder

Multi-file code generation from design + tests

5

Self-Healing

Auto-fix lint/test errors (up to 5 attempts)

6

Vision Gate

UI screenshot capture + quality review

7

Report

Auto-generate README + project summary

Best For

  • Beginners — build apps with natural language
  • Solo developers — automate repetitive tasks
  • Students — quickly bootstrap project assignments

Differentiators

  • TDD-first: Tests are generated before any code
  • Self-Healing: Detects and fixes its own errors automatically
  • Vision Gate: Captures UI screenshots to verify quality
  • 8 Languages: Python, Rust, Go, Java, JS, TS, Swift, C++
Read

Avalon3

AIs debate, then build the best answer

Senior Devs · Security-Focused

Problem

Worried about a single AI's biased design? Short on code reviewers?

Solution

Multiple AIs debate architecture, then only the consensus gets implemented. Reviewers verify the code.

Pipeline — 6 stages

1

Research

All debaters gather information in parallel

2

Debate

Multi-round discussion on architecture & tech stack

3

Synthesis

Unify and consolidate the consensus design

4

Implementation

Single implementer builds all files sequentially

5

Review

Design compliance + code quality verification

6

Refinement

Fix critical issues (optional)

Best For

  • Senior developers — multi-perspective design validation
  • Security-critical projects — cross-verification
  • Teams short on code review capacity

Differentiators

  • Multi-party debate: Up to 4 AIs discuss architecture
  • Consensus-based: Implementation only after debate synthesis
  • Auto-review: Separate AI verifies the code post-implementation
  • 4 Engines: Claude CLI, Gemini CLI, Ollama, OpenCode
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Colligi

Deep analysis through collective intelligence

CTOs · Researchers · Consultants

Problem

Is your analysis trapped in a single AI's perspective?

Solution

Multiple AIs analyze independently, then converge through discussion into a single report. Reduces bias, adds depth.

Pipeline — 5 stages

1

Stage Design

AI auto-designs discussion stages for the topic

2

Discussion

Multi-round convergence debate per stage (threshold 0.65)

3

Integration

Merge all stage results + Emergence synthesis

4

Document

Interactive HTML report generation (7 languages)

5

Enhancement

Additional improvement rounds (optional)

Best For

  • CTOs — evidence-based technical decisions
  • Researchers — multi-perspective analysis
  • Consultants — client-ready analysis reports

Differentiators

  • Convergence debate: Discusses until threshold-based consensus is reached
  • Emergence detection: Discovers insights invisible to individual AIs
  • 7-language reports: Auto-generated in KO, EN, JA, ZH, DE, ES, FR
  • 4 Engines: Claude CLI, Gemini CLI, Ollama, OpenCode
Read

Alliance

From planning to audit, manage the entire project

PMs · Enterprise · Full-Stack

Problem

Want to systematically manage planning → design → implementation → audit for a large project?

Solution

A 7-Phase workflow manages your project step by step with document-driven AI. Each phase produces deliverables that humans approve.

Pipeline — 7 stages

1

PR Research

Market, technology, and competitor research

2

P0 Discovery

Define project scope and goals

3

P1 Design

Architecture and UI design documents

4

P2 Task Spec

Task breakdown and detailed specifications

5

P3 Implementation

Design-based code implementation

6

P4 Audit

Quality, security, and performance audit

7

P5 Closure

Final report and project closure

Best For

  • PMs — manage the full project lifecycle
  • Enterprise — document-driven systematic development
  • Full-stack developers — one-stop from planning to deployment

Differentiators

  • 7-Phase: Covers entire project lifecycle from research to closure
  • Document-driven: Each phase's output becomes the next phase's input
  • Human approval: Proceed to the next phase only after sign-off
  • 2 Engines: Claude CLI, Gemini CLI
Read

Compare at a Glance

Choose the right system for your project scale and purpose

SystemScaleAI CountHuman RoleKey OutputBest For
AI Agent
Function ~ File1Prompt onlyCode + Tests + READMERapid prototyping
Avalon3
Module ~ Feature2–4Config onlyDebate log + Verified codeHigh-quality design
Colligi
Analysis · Review2–4Set topicHTML analysis reportTech decisions
Alliance
Full project2Phase approvalPlanning~audit docs + CodeEnterprise dev

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