EXPERIENCE CENTER
See the flock in motion.
Explore how Warble's components interconnect, simulate live commands, read our engineering logs, and experience the modern AI-Native stack.
Live Infrastructure Health
FRAKMA Clusters: ACTIVE
Coherence level: 94%
MTTR reduction
77%
Production SLO
99.9%
Engineer leverage
4.8x
RAG retrieval
<100ms
Pillar Walkthroughs
Select a strategic integration scenario to examine the business problem, the Warble resolution workflow, and actual config file formats.
GCP-Native AI Stack
Vertex, Cloud Run, Pub/Sub — production patterns we deploy daily.
The problem · Most teams duct-tape AI prototypes onto generic infra. Latency, cost, and audit trails fall apart at scale.
- Vertex AI Agent Engine for actor/critic loops with managed evaluation
- Cloud Run with VPC Service Controls — zero public surface for inference
- AlloyDB pgvector for sub-100ms RAG retrieval with FinReg audit logging
- Pub/Sub fan-out for asynchronous agent workflows
yaml
# cloudbuild.yaml — Vertex Agent Engine deploy
steps:
- name: gcr.io/cloud-builders/gcloud
args: ['ai', 'agents', 'deploy', '${_AGENT}',
'--region=us-central1',
'--service-account=warble-agent@${PROJECT}.iam']Architecture Knowledge Graph
Visualizing how Starling, Reflexion, Murmuration, Brain, and FRAKMA compose into one unified platform.
Hover a node to explore. Lines show how products compose into one system.
Developer notes, logs, and research files scanned from local workspace:
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