Probe
Decompose the problem into candidate Eggs (bounded operational artifacts) and expose gaps, overlap, and likely stabilization scope.
Stabilize operations with bounded artifacts, proven locally.
Turn complex operational risk into candidate Eggs, evidence-gated Loops, reusable Docking Bay assets, and governed Hatch deployments that stay local and auditable.
Read-only trial intake: /trial
Local-first, governed, auditable.
How it works
Loops
Run paid stabilization cycles that harden each Egg with explicit evidence, gates, and pass/fail criteria.
Docking Bay
Store stabilized contracts, receipts, and templates as reusable inventory to reduce future delivery time and cost.
Hatch
Deploy only stabilized Eggs into live operations with proofs attached, while candidate artifacts remain explicitly non-live.
Beta wedges
Stabilize incident response with repeatability, policy enforcement, and drift control.
Problem
Your incident process exists, but execution variance and policy inconsistency create audit and operational risk.
Free Probe value
Probe maps your flow into candidate artifacts, identifies control gaps, and shows where existing controls are reusable.
Artifact set
- Stability Egg (Repeatability Artifact)
- Boundary Egg (Policy Enforcement Artifact)
- Drift Egg (Control Drift Artifact)
Paid Loops
Loops deliver deterministic replay, policy gates with signed receipts, and drift thresholds backed by evidence.
Docking Bay reuse
Reusable gate contracts and receipt schemas reduce rollout time across teams, regions, and audits.
Hatch outcome
Stabilized Eggs move into live incident operations as governed, auditable artifacts with receipts attached; candidate artifacts remain clearly marked until gates pass.
Stabilize reliability operations with runbook consistency, guardrail enforcement, and drift control.
Problem
On-call outcomes vary by team and shift, and reliability controls are hard to enforce under pressure.
Free Probe value
Probe decomposes reliability pain into candidate artifacts, exposes variance points, and identifies reusable guardrails.
Artifact set
- Stability Egg (Runbook Consistency Artifact)
- Boundary Egg (Reliability Guardrail Artifact)
- Drift Egg (Reliability Drift Artifact)
Paid Loops
Loops deliver deterministic execution, explicit allow/deny decisions with receipts, and drift alerts with defined gates.
Docking Bay reuse
Reusable runbook modules and guardrail contracts speed stabilization for new services and environments.
Hatch outcome
Stabilized Eggs move into live reliability operations as governed, auditable artifacts with receipts attached; candidate artifacts remain clearly marked until gates pass.
Stabilize AI governance with workflow repeatability, policy enforcement, and drift control.
Problem
AI governance workflows are difficult to keep consistent as model behavior, policy interpretation, and risk posture evolve.
Free Probe value
Probe maps governance workflows into candidate artifacts, highlights policy and evidence gaps, and surfaces reusable governance primitives.
Artifact set
- Stability Egg (Governance Workflow Repeatability Artifact)
- Boundary Egg (AI Policy Enforcement Artifact)
- Drift Egg (Governance Drift Artifact)
Paid Loops
Loops deliver deterministic governance execution, signed policy receipts, and drift thresholds before governance risk compounds.
Docking Bay reuse
Reusable policy-gate contracts and evidence schemas cut time and cost for onboarding new AI use cases.
Hatch outcome
Stabilized Eggs move into live governance operations as governed, auditable artifacts with receipts attached; candidate artifacts remain clearly marked until gates pass.
Probe finds candidate artifacts. Loops stabilize them. Docking Bay reuses them. Hatch deploys them.
Proof and FAQ
Proof
- Local-first execution boundary by default
- Evidence-gated stabilization, not opinion-based rollout
- Receipts attached to deployed artifacts
FAQ
- What is free vs paid?
- What qualifies an Egg as stabilized?
- What stays local after Hatch?