Proof from shipped work
Proof for workflow constraints, not just finished projects
Browse the public proof BaristaLabs can share: a stalled transportation web/app build, an owner-editable portfolio, a repeatable video-promo workflow, and an anonymized AKS upgrade where network and VM constraints had to be cleared before launch.
Methodology resources on this page explain how BaristaLabs scopes approval, receipt, and data-boundary work. They are planning artifacts, not claims that every case study used the same AI governance pattern.
Proof by constraint
Read each story by the constraint
Most buyers do not arrive at a case-studies page looking for a category. They arrive with a constraint: a vendor path stalled, updates depend on a developer, weekly content is too expensive to repeat, a system upgrade is blocked, or an AI workflow cannot touch customer data until the boundary is clear. Start there.
Constraint
Proof to read
What it supports
Link
Stalled vendor path
Published case study
CartWheels Transportation Platform
BaristaLabs replaced delayed site/app attempts with a working web/app experience and customer communication channels.
Owner-managed content
Published case study
Stilson Greene Creative Portfolio
A portfolio and CMS rebuild let the owner update and change site content without a developer handoff.
Repeatable marketing workflow
Published case study
Stilson's Themed Music Hour Generative Video Marketing
A generative video workflow supported recurring promotional assets for a weekly radio show.
Sensitive infrastructure / zero downtime
Published case study
National Certification Board AKS Upgrade
Subnet and VM capacity constraints were cleared before node-pool migration and Kubernetes upgrade, with zero application downtime.
Data boundary before AI work
Methodology resource, not a case-study result
Data security and AI workflow security worksheet
BaristaLabs scopes minimum data/access, vendor exposure, retention, and sensitive-workflow questions before implementation.
Approval and receipt discipline
Methodology resource, not a case-study result
Responsible AI and agent receipt template
Approval rules, reviewer evidence, receipts, rollback, and review boundaries are defined before an AI workflow earns more permission.
Constraint
Stalled vendor path
Proof to read
CartWheels Transportation Platform
What it shows
BaristaLabs replaced delayed site/app attempts with a working web/app experience and customer communication channels.
Published case study
Constraint
Owner-managed content
Proof to read
Stilson Greene Creative Portfolio
What it shows
A portfolio and CMS rebuild let the owner update and change site content without a developer handoff.
Published case study
Constraint
Repeatable marketing workflow
Proof to read
Stilson's Themed Music Hour Generative Video Marketing
What it shows
A generative video workflow supported recurring promotional assets for a weekly radio show.
Published case study
Constraint
Sensitive infrastructure / zero downtime
Proof to read
National Certification Board AKS Upgrade
What it shows
Subnet and VM capacity constraints were cleared before node-pool migration and Kubernetes upgrade, with zero application downtime.
Published case study
Constraint
Data boundary before AI work
Proof to read
Data security and AI workflow security worksheet
What it shows
BaristaLabs scopes minimum data/access, vendor exposure, retention, and sensitive-workflow questions before implementation.
Methodology resource, not a case-study result
Constraint
Approval and receipt discipline
Proof to read
Responsible AI and agent receipt template
What it shows
Approval rules, reviewer evidence, receipts, rollback, and review boundaries are defined before an AI workflow earns more permission.
Methodology resource, not a case-study result
What the public proof can support
Each proof point below comes from the published case data or client-approved testimonial language. Where BaristaLabs links to responsible-AI or data-security resources, treat those as planning methods rather than client-result claims.
Web + app
A stalled vendor path moved into a working customer interface
CartWheels moved from delayed vendor attempts to a customer-facing website/app experience and communication channels.
Read case studySelf-serve
A portfolio the owner can update without tickets
The portfolio and CMS rebuild kept the work central while giving the owner a direct content-update workflow.
Read case studyWeekly
A repeatable promo workflow for a weekly show
The generative video workflow supports recurring public promo samples for a weekly radio-show marketing queue.
Read case studyZero
Application downtime during the AKS migration and upgrade
Subnet and VM-capacity blockers were diagnosed and cleared before migration, validation, and Kubernetes upgrade.
Read case studySearch or filter published stories
Prefer the constraint map above if you are comparing proof by risk or workflow. Use filters when you already know the project category you want.
Digital TransformationBest proof for: Stalled vendor path
Featured
CartWheels Transportation Platform
A transportation website and app rebuilt around real customer communication
A practical rebuild for a transportation operator: website, app, intuitive UI, and customer communication channels delivered quickly enough to replace a long-running vendor bottleneck.
CartWheels
Transportation
1 week
Evidence to check
- Website and app experience delivered after previous vendor attempts stalled
- Customer communication channels brought into the new digital experience
- Client described the UI as intuitive and user friendly
- +1 more results
Build ingredients
Next.jsReact NativeNode.js+3 more
Creative PortfolioBest proof for: Owner-managed content
Stilson Greene Creative Portfolio
A portfolio site built to keep the work — and the owner — in control
A modern portfolio and CMS rebuild for a creative professional who needed the site to showcase the work clearly and stay easy to update after launch.
Stilson Greene
Creative Services
2 weeks
Evidence to check
- Modern site built around Stilson's graphic design and illustration work
- Owner can update and change site contents without a developer handoff
- Client said the site matched his vision and focused on the work
- +1 more results
Build ingredients
Next.jsPayload CMSTypeScript+2 more
AI Content CreationBest proof for: Repeatable promo workflow
Stilson's Themed Music Hour Generative Video Marketing
A repeatable video workflow for weekly radio-show promotion
A generative video workflow for a weekly radio show, built to produce polished promotional assets at a fraction of traditional production expense.
Stilson Greene
Media & Entertainment
1 week
Evidence to check
- Workflow supports recurring promotional videos for weekly episodes
- Client described the work as a fraction of traditional production expense
- Client said the videos look like a huge studio production
- +1 more results
Build ingredients
Generative Video AIVideo Marketing AutomationYouTube API+3 more
Cloud InfrastructureBest proof for: Sensitive infrastructure
Featured
Azure AKS Cluster Upgrade for a National Certification Board
Clearing subnet and VM-capacity blockers in an AKS upgrade
A stalled AKS upgrade was unblocked by resolving subnet CIDR exhaustion and Azure VM capacity constraints before migrating node pools and completing the Kubernetes version upgrade.
A National Certification Board
Healthcare & Certification
1 week
Evidence to check
- Application downtime during migration and upgrade
- Cluster returned to a vendor-supported Kubernetes version path
- Additional IP headroom created for rolling upgrades and node scaling
- +1 more results
Build ingredients
Azure Kubernetes ServiceAzure Virtual NetworkKubernetes+3 more
Methodology resources
When the constraint is approval, data, or evidence
Some constraints do not fit neatly into a public case study. A buyer may need to know how source data is scoped, what a reviewer sees before an AI workflow acts, or what evidence remains after a run. Use these resources as BaristaLabs' method layer, not as a substitute for client-result proof.
Responsible AI method
Define what a workflow may read, draft, send, change, escalate, log, and roll back before permission expands.
Read the responsible AI methodSecurity review worksheet
Map systems, fields, credentials, vendors, retention, and open review questions before sensitive workflow automation.
Map the data boundaryAgent receipt template
Decide what proof remains after an AI workflow proposes or executes work: trigger, source evidence, policy check, reviewer decision, final action, version, and rollback path.
Review receipt fieldsWhy BaristaLabs scopes one workflow first
See the small-team, senior-led approach behind focused scope, visible risk, and useful evidence before broader automation.
Read why BaristaLabsComparing BaristaLabs with another path?
If you are deciding between an internal build, a freelancer, a SaaS product, a larger consultancy, or BaristaLabs, compare the constraint each path has to respect. Who owns the workflow boundary? Who handles data access? Who leaves evidence after launch? Who can make the first release useful without expanding scope too early?
Compare build pathsBring one workflow constraint
Send the bottleneck, the current process, and the proof you need before you trust a build. BaristaLabs can help map the workflow boundary, data questions, review step, receipt fields, and first useful release without turning the first conversation into a broad consulting program.