
Observer
Starling
Signals → incidents.
First session: surface wasters and rightsizing actions — not another suite demo. Observe. Heal. Learn. Specialized PAYG agents (Observer → Actor → Critic → Executor). We dogfood Avirka-EN on our own stack. No suite tax.
Built for modern platform & SRE stacks
Land with FinOps wasters and a concrete remediation path. Expand into shadow Reflexion, then policy-gated healing when trust is earned. Scenario framing only — we don't invent customer dollar claims.
rightsizing YAML before the next renewal
condition on p99, not mean util
hosts × seats × SKUs vs decision volume
First-session path
Category comparison — not a vendor scoreboard. Patterns first; product second.
| Dimension | Warble | Typical suite AIOps |
|---|---|---|
| What you buy | Specialized agent SKUs · pick & choose | Bundle / seat tax you rarely use |
| Bill shape | PAYG meters (incident · proposal · eval · execute) | Hosts × seats × feature SKUs |
| Safety model | Independent Critic + OPA · shadow default | Chat widget bolted on the APM |
| Where data lives | Your VPC · sovereign path available | Vendor cloud traces by default |
| Time to value | FinOps wasters list → YAML in first session | Demo polish → renewal step-function |
Named competitors (Datadog Bits AI, incident.io AI, PagerDuty AIOps) sell depth of integration; we sell bill shape, sovereignty, and gated Actor/Critic — pick what fits your renewal math.
Design partners
We don't invent customer logos. First three design partners get this slot — until then, dogfood is our proof: we run Avirka-EN on our own platform.
Ask about design partner seatsWorkspace is pay as you go per agent meter. Self-serve Stripe checkout tracks in #143.
Eyes on signals. Demo-cast free units / month. No execute.
obs · actor · critic · executor list rates. Shadow execute = $0.
Sovereign VPC, committed use, SLA, private fine-tunes.
Same vision as modern agent platforms — but purpose-built for Kubernetes SRE, dual-brain safety, and a sovereign dogfood engine you can host yourself.
Prometheus, pod events, and boutique signals feed the Reflexion engine. Accipiter watches Pending workloads. Observe is in-cluster — no black-box SaaS hop required.
Drop a platform issue — the demo cast forms an army under your autonomy rules. Then procure only who ran. Pure vanilla SKUs. No suite tax. Pay as you go until memberships open.
Agent army · live formation
Drop a platform issue. Watch the demo cast form up under your autonomy rules.
Restart storm → Observer opens incident · Actor proposes limit raise · Critic gates · Executor applies if allowed.
Full army engaged · PAYG only meters what actually runs
Watches first. Warble Army forms up under your autonomy.

Starling
Signals → incidents.

Hummingbird
Draft remediations.

Owl
SLO & blast-radius gate.

Harrier Hawk
Apply after approve.

Raven
RAG, runbooks, memory.

Sparrow
Spend, rightsizing, cost governance.

Accipiter Hawk
Predictive scaling.
Autonomy mode — how far agents may go
Demo cast (SKU 1–4) — pay as you go
Observer → Actor → Critic → Executor. No suite tax. Meter only what runs.
Optional add-ons (also pay as you go)
Critic + human approval required before every execute.
Illustrative mid-month list (demo volumes): $12.60 before free tier.
Default ship: supervised + demo cast obs · actor · critic · executor (SKU 1–4), all pay as you go. Knowledge, FinOps & Accipiter are optional add-ons. Shadow/dry-run never bills executor.
Tell us which flock you want and how far they may go. No suite tax — we only open seats for packs you actually intend to run. Shadow default until you promote.
Critic evaluates · Hypothesis proposes · Actor executes
The interactive Reflexion terminal is available to beta operators. Sign in with your beta invite, or contact us for enterprise access.
Avirka-EN is Warble's self-hosted remediation brain: Actor proposes, Critic gates, outcomes retrain. Goldens, eval-ab, train gates (≥0.70), and HF→vLLM serving close a loop most "agent demos" never ship. That's continuous learning for ops — not a chat widget bolted onto Grafana.
Reflexion subagents — Observer, Actor, Critic, FinOps — act on live signals through Avirka-EN. Every outcome feeds continuous improvement.
Every remediation outcome becomes a training signal — the model that runs your cluster is fine-tuned on your cluster.
Runs on the FRAKMA stack
Don't ship vibes. Ship observe → heal → learn with gates you can audit.
Multi-step Kubernetes remediations via Critic → Hypothesis → Actor. Safe by default — policy-gated before anything reaches your cluster.
Semantic retrieval over runbooks, incident history, and live metrics. Sub-10ms vector hits via Qdrant — no token bloat under load.
OPA gates, pre-computed rollbacks, Workload Identity, air-gapped perimeters. Sovereign AIOps — your data stays in your VPC.
Correlate cost spikes with deploys, right-size pools, kill idle waste — governed by spend policy, not vibes.
Avirka-EN is our SRE LLM we run on ourselves: remediates, learns from outcomes, and continuously improves via eval gates and fine-tunes.
Up to 8 self-correction cycles. The Critic stops confident-but-wrong actions before they ship — the category that kills agent trust.
Pure vanilla specialized agents. Avirka-EN dogfood learning. Pay as you go on your cluster.