Syntax.ai
Open Standard + Enterprise Platform

Make AI Code
Observable. Verifiable. Improvable.

Every AI-generated line of code becomes a queryable event. Finally know what AI wrote, why it broke, and how to fix it.

domain.entity.action:version — the universal syntax for AI observability.

ai_service.rs
// AI generates code that emits structured events
async fn generate_code(prompt: &str) {
let result = model.generate(prompt).await;
// Every action becomes queryable
emit!(ai.generation.completed:1 {
tokens: 1247, confidence: 0.94 });

The Event-Driven AI Platform

Every AI action becomes an observable event. Query, verify, and improve your AI-generated code with confidence.

Real-Time Event Streaming

Every AI-generated code change emits a structured event. ai.generation.completed:1 flows through your system in milliseconds. See exactly what AI is doing, when it's doing it.

Hierarchical Queries

Query auth.% for all auth events. Query %.failed:% for all failures system-wide. The dot notation enables powerful SQL pattern matching across your entire AI codebase.

Event-Driven Quality Gates

Validate events at emission time. Reject malformed events before they hit production. AI code has 4x more defects—events let you catch them automatically.

Complete Audit Trail

Every event is logged with full context. Know exactly what AI wrote, when, and whether it passed your policies. SOC 2, EU AI Act, and ISO 27001 compliance built-in.

AI Feedback Loops

"Event X fired 10x more than expected." AI can reason about its own output in structured terms. Events become training signals to continuously improve generation.

Universal Event Standard

Open specification. Works with any AI tool—Copilot, Cursor, Claude Code, custom models. The event model is the contract. Your AI tools are just implementations.

1
Event Per Code Change
100%
AI Actions Traced
<10ms
Event Latency
Open
Standard + Platform

The AI Feedback Loop

EventIDs close the loop between AI code generation and observable behavior.

1

Define Your Catalog

Declare the events your system can emit using our DSL. This becomes the contract AI must fulfill.

2

AI Generates Code

AI writes code that emits well-defined events from your catalog. Every action becomes observable.

3

Events Stream

Running system emits typed, queryable events. Verify correctness in real-time.

4

Feedback & Improve

AI reasons about its own output. Events become training signals for continuous improvement.

Featured Use Case

Make Self-Driving AI Explainable

Every FSD perception, decision, and action — observable and auditable. Finally answer: "Why did the car do that?"

vehicle.perception.pedestrian_detected:1
vehicle.decision.yield_initiated:1
vehicle.safety.collision_avoided:1
See Live Demo
Aerospace Use Case

Make Rocket AI Explainable

Every guidance decision, every engine command, every sensor reading — observable and auditable. Finally answer: "Why did the booster abort the landing burn?"

rocket.engine.raptor_ignition:1
rocket.guidance.trajectory_nominal:1
rocket.stage.booster_catch_success:1
See Live Demo
Medical Device Use Case

Make Neural Interface AI FDA-Auditable

Every neural decode, every stimulation pulse, every safety check — observable and queryable. Finally answer: "Why did the implant send that signal?"

neural.decode.motor_intent_classified:2
implant.safety.current_reduced:1
patient.feedback.sensation_reported:1
See Live Demo
Satellite Use Case

Make Constellation AI FCC-Auditable

Every orbit adjustment, every collision avoidance, every satellite handoff — observable and queryable. Finally answer: "Why did the satellite change orbit?"

satellite.orbit.collision_avoidance:1
mesh.routing.path_optimized:1
constellation.handoff.ground_station:1
See Live Demo
Infrastructure Use Case

Make Underground Transport AI DOT-Auditable

Every pod navigation decision, every ventilation action, every emergency response — observable and queryable. Finally answer: "Why did the pod stop in the tunnel?"

vehicle.pod.emergency_stop:1
tunnel.ventilation.fan_adjusted:1
vehicle.pod.passenger_loaded:1
See Live Demo
Robotics Use Case

Make Humanoid Robot AI OSHA-Auditable

Every manipulation decision, every balance correction, every human interaction — observable and queryable. Finally answer: "Why did the robot stop moving?"

robot.manipulation.object_grasped:1
robot.locomotion.balance_corrected:1
robot.safety.human_detected:1
See Live Demo
Social Media Use Case

Make Content Moderation AI DSA-Auditable

Every flagging decision, every feed ranking, every bot detection — observable and queryable. Finally answer: "Why was this post removed?"

moderation.content.flagged:1
recommendation.feed.ranked:1
detection.bot.identified:1
See Live Demo
LLM Use Case

Make LLM Inference EU AI Act-Auditable

Every inference decision, every context retrieval, every safety filter — observable and queryable. Finally answer: "Why did Grok say that?"

llm.inference.completed:1
llm.context.retrieved:1
llm.hallucination.detected:1
See Live Demo
Google/Alphabet Use Case

Make Waymo's Driving AI NHTSA-Auditable

Every perception decision, every trajectory prediction, every safety intervention — observable and queryable. Finally answer: "Why did the Waymo stop?"

waymo.perception.object_detected:1
waymo.predict.trajectory:1
waymo.planner.decision:1
See Live Demo
Google/Alphabet Use Case

Make DeepMind's AI Research Reproducible

Every AlphaFold prediction, every AlphaGo move, every training run — observable and queryable. Finally answer: "How did AlphaFold arrive at this structure?"

alphafold.structure.predicted:1
alphago.move.selected:1
deepmind.training.checkpoint:1
See Live Demo
Google/Alphabet Use Case

Make YouTube's Algorithm Transparent

Every video recommendation, every content moderation decision, every monetization call — observable and queryable. Finally answer: "Why was my video demonetized?"

youtube.recommend.scored:1
youtube.moderation.flagged:1
youtube.monetization.evaluated:1
See Live Demo
Google/Alphabet Use Case

Make Gemini's Multimodal AI Transparent

Every inference decision, every grounding source, every safety filter — observable across text, image, and video. Finally answer: "Why did Gemini cite that source?"

gemini.grounding.retrieved:1
gemini.vision.analyzed:1
gemini.inference.completed:1
See Live Demo
Google/Alphabet Use Case

Make Enterprise MLOps Observable

Every model deployment, every prediction served, every drift detected — observable and queryable. Finally answer: "Why did this model's accuracy drop?"

vertex.model.deployed:1
vertex.drift.detected:1
vertex.pipeline.completed:1
See Live Demo
Google/Alphabet Use Case

Make On-Device AI Privacy-Transparent

Every keyboard prediction, every voice transcription, every on-device inference — observable without leaving the device. Finally answer: "What is my phone learning about me?"

android.keyboard.predicted:1
android.assistant.on_device:1
android.nowplaying.identified:1
See Live Demo
Google/Alphabet Use Case

Make Location AI Observable

Every route calculation, traffic prediction, and place recommendation — observable and queryable. Finally answer: "Why did Maps suggest that route?"

maps.route.calculated:1
maps.traffic.predicted:1
maps.place.recommended:1
See Live Demo
Google/Alphabet Use Case

Make Smart Home AI Observable

Every thermostat decision, camera detection, and doorbell recognition — observable and privacy-compliant. Finally answer: "What is my home learning about me?"

nest.thermostat.adjusted:1
nest.camera.person_detected:1
nest.doorbell.familiar_face:1
See Live Demo
Microsoft Use Case

Make Enterprise LLMs Observable

Every API call, content filter decision, and token usage — observable and auditable. Finally answer: "Why did our Azure bill spike 300%?"

azure.openai.completion:1
azure.openai.content_filtered:1
azure.openai.embedding:1
See Live Demo

Ready to Make AI Code Observable?

The specification is open. The platform is ready. Start building with the universal event model today.