Structured AI-guided delivery

For small teams entering the AI era with confidence and structure

Adopt AI-Driven Development. Execute with Structure and Control.

Describe what you want to build. Bespoke structure it into specs, tasks, approvals, and controlled deployments—all visible in one place.

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Define and refine

Choose what you want to build—HTTP API, background job, or internal tool—and use guided workflows to define it with tailored patterns and rules.

Structure and route

The agent helps structure the spec, organize work into tasks, and route reviews to the right roles.

Execute and deliver

Changes require approval before deployment. Progress stays visible end-to-end in one shared view.

How It Works

Examples from real delivery workflows

See how teams use structured AI-guided workflows to move from request to release with clear approvals and shared visibility.

Developer ships a new API endpoint with backward compatibility

A product owner requests a new partial-refund flow for customer orders, including duplicate-submission protection and payment-provider parity rules. The workflow turns this into clear implementation tasks, data updates, and release acceptance checks.

Request + constraints→

OpenAPI + tasks→

Review gates→

Canary deploy

•Development receives scoped tasks for validation rules, DB schema updates, and webhook reconciliation handling.
•API reviewer and QA must sign off on contract tests and a no-breaking-change check before deploy.

The endpoint ships in 2 days with full traceability from request to production logs, and no downstream client breakage.

Operations launches a weekly SLA reporting tool

Ops requests a dashboard pulling incidents from PagerDuty and ticket aging from Jira, with Monday 08:00 UTC email delivery. The workflow creates ingestion, transformation, and RBAC tasks with owner assignment per team.

Data sources→

Tasked build→

Validation run→

Automated send

•Developers implement connectors, cron scheduling, and row-level access controls from a pre-scoped plan.
•QA validates generated reports against a baseline spreadsheet and checks export accuracy for CSV + PDF.

The tool launches in one sprint and replaces manual report prep that previously consumed ~6 hours per week.

Infra rolls out a background job with controlled blast radius

A queue worker for nightly invoice reconciliation needs Redis, DLQ configuration, and autoscaling. The workflow enforces Terraform plan review, environment parity checks, and staged rollout by tenant cohort.

Worker spec→

Plan + approval→

Canary + SLO→

Full rollout

•Ops approves Terraform diff and secret rotation checklist before any apply step executes.
•Deployment proceeds through canary (5%), then regional rollout with latency/error SLO monitors attached.

The job reaches full rollout without incident, and rollback steps remain pre-approved if SLO thresholds are breached.

For Your Team

Role-based value your team can use immediately

Each role gets clear ownership, safer handoffs, and fewer coordination gaps.

Developer

Build within predefined templates and best practices—no guessing, no setup chaos.

Product / Spec Owner

Turn ideas into structured specs with automatic task breakdown and traceability.

Ops / Infra

Review and approve deployments before infrastructure is created or changed.

QA

See what’s ready, what’s blocked, and what’s deployed—without chasing updates.

What You Can Ship

Practical delivery targets

Start with common assets your team needs to deliver.

.NETTypeScriptAzure

HTTP API

Production-ready service with predefined structure and deployment workflow.

Background Job

Scheduled or event-driven processing with safe infrastructure setup.

Internal Tool

Structured internal app with clear ownership and rollout process.

Early AccessLimited spots

We’re working closely with a limited number of teams building .NET and/or TypeScript apps hosted on Azure.

During preview, we’re focused on .NET / TypeScript / Azure so we can deliver tight workflows and hands-on support. More stacks and cloud providers are on the roadmap.

Join Early Access

$200

per team

One-time consulting fee for workflow tailoring and setup.

Guided onboarding
Workflow tailoring
Direct collaboration

1. Founding price · subject to change
2. AI model usage is always billed separately and passed through based on the models you use.
3. Cloud-hosted agents are free during early preview; after preview, cloud hosting fees apply. Self-hosting is always free.

Structured execution

Run AI-guided delivery with clear control

Keep tasks, approvals, infrastructure changes, and delivery status visible in one shared operating flow.

Get Started Join Early Access