Case studies in practical AI, automation, and regulated cloud engineering.

AI systems, cloud platforms, and automation workflows shaped by regulated software, cybersecurity, product engineering, and hands-on agent development.

Grounded Retrieval

RAG, OCR, citations, source boundaries, evaluation, and document workflows.

Workflow Automation

GitHub, project systems, email, calendars, billing, and internal operations.

Regulated Systems

Medical device software, SBOMs, PKI, identity, auditability, and CI/CD.

Agentic Engineering

Code review, documentation, repo-aware assistants, tool servers, and tool use.

Turning rough product ideas into implementation-ready software work

A no-code software planning platform that turns product intent into refined requirements, implementation tasks, acceptance criteria, and engineering-ready delivery workflows.

The constraint

Non-technical stakeholders often know the workflow they need, but not the exact stories, edge cases, architecture, or test plan required to get reliable software built.

The result

Red Duck Labs turned a vague AI delivery concept into a practical operating system for software work: business users get leverage, engineers keep control, and every generated task can be reviewed.

How it was built

Built an AI-guided requirement refinement flow that asks clarifying questions instead of accepting vague prompts.

Connected story generation, GitHub issue/task creation, and implementation guidance into one hosted workflow.

Kept deployment control with the customer so generated work can move through their own repository, review, and release process.

Grounded legal research over messy evidence and procedural documents

A California-focused legal AI system for summary judgment work: document ingestion, OCR, vector retrieval, claim support, fuzzy matching, and Word-exportable drafting workflows.

The constraint

Legal teams need to find facts, citations, contradictions, and procedural support across large document sets without letting an LLM invent authority or lose source traceability.

The result

Red Duck Labs shaped the system around the work lawyers actually need to defend: every answer is constrained, sourced, and ready to move into a real drafting workflow.

How it was built

Designed an ingestion pipeline for PDFs and office documents with OCR support for scanned material.

Combined vector retrieval, fuzzy matching, and natural-language verification so answers remain tied to source material.

Added drafting/export paths so research can become usable work product, not just chat output.

Cloud-native control plane patterns for regulated device software

Platform engineering work for connected medical-device systems, including AWS service architecture, identity integration, routing, deployment automation, and productized cloud modules.

The constraint

Medical-device platforms need modern cloud velocity without losing identity controls, auditability, repeatable deployments, or regulated development discipline.

The result

Red Duck Labs brings the rare combination this work needs: cloud-native speed, regulated-system judgment, and enough security discipline to make the architecture explainable under scrutiny.

How it was built

Built service architecture around AWS Lambda, API Gateway, Route53, DynamoDB, S3, ECR, ECS Fargate, ALB, VPC, and CDK.

Designed control-plane components for routing, product/module management, and secure SSO-oriented identity flows.

Created idempotent GitHub Actions and infrastructure-as-code paths for repeatable cloud deployment.

SBOM-driven vulnerability visibility for regulated software teams

Regulated DevOps modernization work spanning GitLab migration, Kubernetes-backed CI/CD, SBOM generation, vulnerability monitoring, and secure release practices.

The constraint

Teams building safety-critical software need faster delivery, but every dependency, vulnerability, and release path must still be visible and defensible.

The result

Red Duck Labs helped turn security from a release blocker into an engineering feedback loop, with evidence generated as part of normal delivery instead of assembled after the fact.

How it was built

Introduced CycloneDX SBOM generation and continuous vulnerability monitoring into the development process.

Modernized source control and CI/CD workflows across cloud-hosted Kubernetes infrastructure.

Integrated cybersecurity review with practical engineering workflows instead of treating it as a late-stage gate.

AI assistants that review code, document systems, and operate tools

A family of AI-assistant patterns for code review, documentation generation, project operations, repository-aware retrieval, and tool-using engineering workflows.

The constraint

Developer productivity tools become shallow when they only chat. Useful agents need tools, repository context, workflow memory, and clear review boundaries.

The result

Red Duck Labs knows how to make agents useful in the places teams already work: reading code, operating tools, producing artifacts, and leaving humans with a clean review surface.

How it was built

Built multi-provider assistants that can use tools, retrieve project context, inspect code, and generate structured outputs.

Packaged workflows as assistant tool servers, CI integrations, local CLIs, and system-facing automation.

Focused on reviewable artifacts: issues, PR feedback, documentation, project updates, and traceable summaries.

A geospatial consumer product with shared web, mobile, and API foundations

A crowdsourced geospatial product for finding, rating, and improving public amenity data, built as a web and mobile experience over a search-ready API.

The constraint

Location-based products need more than a map: they need trustable data capture, shared contracts, mobile ergonomics, and deployment architecture that can grow.

The result

Red Duck Labs built beyond the prototype: a product foundation with real data modeling, cross-platform contracts, and infrastructure choices that can survive customer discovery.

How it was built

Designed a shared TypeScript contract across web and mobile clients.

Used PostgreSQL/PostGIS for geospatial search and ranking-ready data modeling.

Structured the repo with backend, web, mobile, shared packages, infrastructure, and CI/CD from the start.

Have a workflow that needs this level of care?

Bring the messy documents, the compliance constraints, the half-automated process, or the product idea that needs an engineering spine.