Resident service application
Meridian: a connected service journey ↗
Explore service discovery, application steps, status updates and messages.
Turn a disconnected process into a working application or AI workflow.
Build the whole system: React and Next.js interfaces, Node.js or Python services, PostgreSQL data, iOS and Android apps, and the AI or automation that connects the work.
Resident service application
Inspect the work.
Explore service discovery, application steps, status updates and messages.
Meridian: a connected resident-services platform ↗
Resident services platform. Follow the workflow from the first step through the result.
Each example identifies its relationship, source and limitations. Founder prior-role work, separate ventures and synthetic demonstrations are distinguished from company client delivery.
Problems we can help solve
- Build a full-stack platform or iOS and Android application
- Connect data, payments, tools and operating workflows
- Build and evaluate AI models, applications and automated workflows
Agree what ready means.
Acceptance is defined for your engagement. Examples of checks to agree before work begins:
Deliverables, timing, team availability, integrations and support coverage are confirmed in the written scope.
Shape the scope
- A workflow and requirements map with clear system boundaries
- Full-stack web or mobile software, model engineering, AI applications or automation built to the agreed scope
- Test cases and acceptance evidence for the priority tasks
- Documentation, ownership and an operating handover plan
- The task to improve, users and the result you need
- Existing systems, data access and integration constraints
- Privacy, security, budget and operating requirements
- An agreed user journey completes across the connected systems
- Failure paths, permissions and data handling are tested
- For AI, agreed query benchmarks, source handling, expected responses, refusal cases and prompt-injection tests are evaluated
- Deployment, monitoring and receiving-team responsibilities are reviewed
Evidence for this kind of work
Deterministic development example
Inspect AI evaluation cases and results ↗
Review the dataset, known failures and limitations. This does not establish production model accuracy.
Paid individual founder experience
Technical product leadership and product management ↗
Read attributed client reviews, roles and dates, separately from company contract awards.
Choose a starting scope
- 01Software, CMS and platform deliveryBuild a public website, application or internal platform. Modernize what your team already uses.
- 02AI systems, models and workflow automationTake a bounded use case from data and process discovery through a tested model or working automation.
- 03Data, dashboards and connected operationsConnect sources, reconcile the data and make decisions traceable through dashboards, maps or APIs.
What happens next
Bring the problem, desired outcome and timing. We confirm fit, access requirements and a proposed scope before commitment.
Discuss a software or AI project ↗The first conversation identifies the decisions, constraints and evidence needed for a useful brief. The proposal then names deliverables, responsibilities, acceptance criteria and a fixed price for the agreed scope.