☼
Welcome back
Your AGI platform is running at peak efficiency · 41 agents synchronized · Last deploy: —
Neural Core Online
⚡ Pipeline Ready
Total Deployments
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Success Rate
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↑ 2.1% vs last month
Avg Risk Score
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LOW RISK ZONE
Active Incidents
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Model Accuracy
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Derived from deployment history
ARIX1
■ NEURAL ACTIVE
AGENTS: 41 / 41
UPTIME: 99.9%
41 OK ZT ✓ PRR AI ARIX1 AGI
Last Decision
—
🛡️
Most recent deployment
Autonomous Deployment Pipeline
LIVE
📥
Code Push
GitHub webhook
→
🔍
Analysis
6 pre-deploy
→
⚡
Risk Score
ML + rules
→
🛡️
Zero Trust
33 ZT checks
→
🚀
Deploy
Canary rollout
→
📊
Monitor
15min watch
→
🧠
Learn
Self-improving
Pipeline Speed
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All 41 agents
Patterns Learned
—
Knowledge base
Model Accuracy
Risk Trend
—
Trending down
🔧 IRP
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Patches Ready
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Resolved
—
Pending Merge
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Failed Verif.
Human approval required at every step
41 Agents · Live Status
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Full ADLC Lifecycle 7 PHASES · 41 AGENTS
🗓️
Plan
🔎
Analyze
📐
Design
✓
Code
✓
Review
△
Risk
✓
Validate
🧪
Test
🛡
Security
⬢
Deploy
↗
Monitor
♾
Learn
🚢
Release
Incidents
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trinovion-agi · pipeline
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Deployment Info
Repository—
Commit—
Branchmain
Risk Score—
Duration0s
REPOSITORYCOMMITAUTHORBRANCHRISKSTATUSDURATIONTIME
Active
—
Resolved
—
MTTR
—
Auto-Rollbacks
—
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Agent Squad — All Phases
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Loading agent roster…
Patterns Learned
—
Model Accuracy
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Embeddings
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📋 Full integration guide in SOP document
Request SOP →
YOUR GitHub · YOUR Database · YOUR Cloud
↕ webhook / API / agent
ARIX1 — 41 Agents · PRR · Zero Trust · DB Safety
↕ approve / block / alert
YOUR Deployment · YOUR Telegram · YOUR Grafana
01
Go to your GitHub Repository
Settings → Webhooks → Add webhook
02
Set Payload URL
https://trinovion-agi-production.up.railway.app/webhook/githubclick to copy
03
Set Secret
trinovion-agi-webhook-2026click to copy
04
Select Events
Choose "Just the push event" → Add webhook
05
Add Your Anthropic Key (BYOT)
Settings → Bring Your Own Token → Paste sk-ant-xxx key
06
Set Your Telegram Chat ID
Add your Telegram chat ID to receive deployment alerts
07
Test Your Integration
Push a commit to your repo and watch ARIX1 analyze it in real-time on the Deployments panel.
Your Environment Configuration
Pending Review
Industry
Deployment Type
Format
Risk Prediction Accuracy by Industry
Success Rate by Deployment Type
PRR Block Rate by Industry
Patterns Learned per Industry
Foundation
Core guardrails
TIER SCORE—
Advanced
Scoped & monitored
TIER SCORE—
Optimized
Adaptive defense
TIER SCORE—
Threat Landscape
8-Phase Implementation Workflow
🪪 Identity
→
🎯 Access Scoping
→
📦 Sandboxing
→
🔒 Input Controls
→
📤 Output Controls
→
🧠 Memory Safeguards
→
⚡ Agentic SOAR
→
🏛️ Regulated Ready
Live Threat Feed
Auto-refresh 30s
REPOSITORY
BRANCH
INDUSTRY
DEPLOYMENT TYPE
AUTHOR
RISK LEVEL
PIPELINE STAGES
📥 Code Push
→
✓ PRR Check
→
🔍 Analysis
→
⚖ Risk Score
→
🛡️ Zero Trust
→
🚀 Deploy
→
📡 Monitor
→
🧠 Learn
LIVE LOG
— ready. configure above and click RUN TEST —
TEST HISTORY (THIS SESSION)
No tests run yet.
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Total Events
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Deployments
—
Blocked
—
Threats
—
Active Users
Timestamp User Action Resource Industry Status IP Address Details
Broken (Red)
—
Fake / Hardcoded (Amber)
—
Verified (Green)
—
Endpoints Tested
—
Click ▶ Run Audit to scan all endpoints and HTML files.
Results are persisted — reopening this panel shows the last run.
—
Tests Passing
—
Pass Rate
8.43s
Duration
run: static-snapshot
Last run: —
🔬
Unit Tests
64/64
✓ PASSING
🔗
Integration Tests
18/18
✓ PASSING
⚡
Performance Tests
5/5
✓ PASSING
🛡️
Security Tests
5/5
✓ PASSING
CI Pipeline
📥
Checkout
ready
📦
Install Deps
🔬
Unit Tests
🔗
Integration
⚡
Performance
🛡️
Security
📊
Report
7-Day Run History
Test Name Class Category Status Duration
80+
Endpoints
v2.0.0
Version
OAS 3.1
Standard
REST
Protocol
GET Endpoints
GET /health System health check
GET /agents/status All 41 agent statuses
GET /deployments List all deployments
GET /knowledge Knowledge base entries
GET /incidents Active incidents
GET /test-results Latest test suite results
GET /audit-logs System audit trail
POST Endpoints
POST /webhook/github GitHub webhook receiver
POST /chat Voice/chat interface
POST /investigate Investigate incident
Live Response
// Click "Test" on any endpoint to see the live response
📋 Current Plan
Your subscription tier and usage this month.
Plan
Starter
Deploys This Month
0 / 10
API Key
Shared
👤 Profile
Your account details and role on this platform.
🔑 Bring Your Own Token
Use your own Anthropic API key. Your deployments use your Claude credits — full data sovereignty and no shared quota.
Currently using: ARIX1 shared key
—
🔌 API Keys (MCP)
Generate tokens for MCP clients like Claude Desktop or Claude Code. Each key gives read-only access to your ARIX1 data. Keys expire after 90 days max.
Active Keys
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📱 Notifications
Configure when ARIX1 alerts you via Telegram.
Deployment started
PRR blocked
Incident detected
Zero Trust violation
Daily summary report
📊 Usage Stats
Platform activity and AI token consumption.
Deployments analyzed—
PRR checks run—
Threats blocked—
Avg agents per deploy—
AI tokens used (est.)—
Est. API cost—
Cost per deployment—
Savings vs unoptimised—
🔗 How to Connect Your Repo
Three ways to get your code into ARIX1:
Option 1 — GitHub Webhook (Recommended)
Your repo → Settings → Webhooks → Add webhook
URL: trinovion-agi-production.up.railway.app/webhook/github
Secret: trinovion-agi-webhook-2026
Events: Push events ✓

Option 2 — File Upload
Use the 📁 File Deploy panel — upload any file for instant PRR analysis.

Option 3 — Direct API COMING SOON
POST /deploy/trigger with your code content and deployment config.
🔒 Account
Manage your account credentials.
📁
Drop files here — multi-file batches supported
Python · JavaScript · TypeScript · Java · C/C++ · Rust · Go · C# · SQL · Terraform · Docker · JSON · YAML and more · Select multiple or drop a batch
QUICK TEST — paste this sample Terraform drift to verify the pipeline:
# aws_security_group.app_sg will be updated in-place
resource "aws_security_group" "app_sg" {
  ~ ingress {
      + cidr_blocks = ["0.0.0.0/0"]   # PUBLIC INTERNET ACCESS ADDED
        from_port   = 22
        protocol    = "tcp"
        to_port     = 22
    }
}

# aws_s3_bucket.data_bucket will be updated in-place
resource "aws_s3_bucket" "data_bucket" {
  ~ acl = "private" -> "public-read"   # BUCKET MADE PUBLIC
}
ARIX1 AGENT FLOW
41 Agents · Live Deployment Intelligence Architecture · from trigger to decision
LIVE
Total 41 agents
Running —
Passed —
Failed —
Idle —
1
Trigger Layer
GitHub PR webhook, direct API call, or manual deploy request enters ARIX1
🐙 GitHub PR
→
🔗 API Webhook
→
📁 File Upload
→
🏗 Infra Drift
↓
2
Model Router
3-tier cascade selects best AI model — OmniRoute primary, Groq and Gemini as fallbacks, Anthropic for tool_choice
OmniRoute99 models · primary
→
Groqhaiku fallback
→
Geminisonnet fallback
→
Anthropicopus · tool_choice
↓
3
Zero Trust Gate Phase 4 · 6 agents
Runs first — guards against prompt injection, tool poisoning, memory manipulation, and identity spoofing
🛡️ Sentinel
🔬 Inspector
🧬 Immunizer
🔐 Enforcer
📋 Auditor Pro
🤖 SOAR
↓
4
ADLC Intelligence Phase 6 · 6 agents
Pre-deployment lifecycle gate — requirements, planning, architecture, testing, change management, release readiness
📐 Analyst
📅 Planner
🏗️ Designer
🧪 Tester
📋 Change Mgr
🚢 Release Mgr
↓
5
Core Pipeline Phase 1–3 · 12 agents
Main deployment intelligence — code review, risk scoring, CI validation, security analysis, deployment execution, and post-deploy monitoring
🧠 Orchestration
🔍 Code Review
⚡ Risk Assessment
✅ Validation
📋 Compliance
🔒 Security
🚀 Deployment
📊 Monitoring
🔥 Incident RCA
📝 Docs
🎓 Learning
📈 Business Impact
↓
6
Extended Intelligence Phase 3 · 6 agents Domain · 2 agents
Specialist checks — flags, supply chain, message queues, file configs, API contracts, DB migrations, telecom network, cloud IaC
🚩 Feature Flag
⛓️ Supply Chain
📨 Message Queue
📁 File Intel
🔗 API Contract
🗄️ DB Change
📡 Network Risk
☁️ IaC Risk
↓
7
DB Safety Layer Phase 5 · 3 agents
Runs only on DB migrations — backup orchestration, migration safety scanning, and auto rollback engine
🗄️ The Vault
⚕️ The Surgeon
⏪ The Rewinder
↓
8
PMP Governance Phase 7 · 6 agents
Project management intelligence — informational-only, never blocks — cost, resource, communication, EVM scoring, and ledger closure
🎯 The Sponsor
💰 The Economist
🕐 The Resourcer
📡 The Communicator
📊 The Scorekeeper
🏁 The Closer
↓
9
IRP — Intelligent Remediation Pipeline
Security findings from the Security agent trigger FixGeneratorAgent — generates production-grade patches with test stubs
🔒 Security Findings
→
🤖 FixGeneratorAgent
Sonnet · tool_choice
→
💾 fix_packages DB
→
✅ Patch Applied
↓
10
Decision Gate
Risk score compared against industry threshold — auto-approve, block for review, or override with audit trail
⚡ Risk Score 0–1
→
🏭 Industry Threshold
→
✓ APPROVE
or
✗ BLOCK
or
⚠ OVERRIDE
⚖️
EU AI Act — Enforcement Active (2 August 2026)
High-risk AI requirements, Article 50 transparency obligations, and conformity assessments are now legally enforceable. Fines up to €35M or 7% of global annual turnover. Heuristic findings below are keyword signals only — not legal determinations. Structural findings assert verifiable properties of the ARIX1 pipeline.
Source Deployment
Only deployments that ran after the EU AI Act module was activated (Sept 2026) will have pre-screening data.
Pipeline Assertions
STRUCTURAL
Verifiable properties of the ARIX1 pipeline. These can be presented as substantive compliance evidence.
Heuristic Signals
REVIEW REQUIRED
Keyword and pattern scans. Always require human legal review — never treated as pass/fail determinations.
⚖️
No Pre-Screening Data Yet
Trigger a deployment to generate EU AI Act pre-screening findings.
The compliance agent embeds findings in every run after Sept 2026.