Realtime video SaaSVantaview
AI automation, dashboards, and product systems
Practical AI automation for businesses with messy workflows.
I am Jonathan Benn, a full-stack and mobile engineer who builds the software around operations: AI-assisted workflows, internal tools, customer portals, integrations, and apps that people can actually run after launch.
Automation sprintsWorkflow audits, dashboards, apps, and AI-assisted systems
Operator softwareQueues, approvals, inventory, reporting, and support recovery
Apps and portalsReact Native, Next.js, auth, APIs, and cloud data
Agent-enabled deliveryCodex, Claude Code, RAG, review loops, and release checklists
Current focusbuilding AI workflow systems, dashboards, apps, and automation tools
Agent command centerBlackcrab
Warehouse fulfillmentMuha Members
AuditAutomateDashboardRetain
Expert-led AI automation studio
Practical automation systems for businesses with messy workflows.
I help founders, agencies, and operators turn manual handoffs into usable software: AI-assisted workflows, internal dashboards, customer portals, integrations, and mobile/web apps that are built to survive real users.
LLM-assisted intake, triage, summaries, internal assistants, agent handoffs, and review flows that keep humans in control.
Operator queues, admin panels, reporting views, inventory tools, approval paths, and exception handling for work that cannot live in a spreadsheet.
Customer portals, mobile apps, API integrations, authentication, subscriptions, notifications, and cloud-backed product surfaces.
RAG-style knowledge tools, OCR/PDF workflows, structured CRM context, searchable records, and clean data models for automation.
How work usually starts
Start with one painful workflow, then turn the useful pieces into a system.
Map the manual process, find the leverage point, and define the smallest useful automation sprint.
Build one production-ready workflow, dashboard, portal, or AI-assisted process with handoff notes.
Keep improving the system, add integrations, monitor edge cases, and build the next workflow.
Operations are trapped in spreadsheetsYour team needs dashboards, queues, or portalsA no-code automation is becoming real softwareYou want AI help without losing review and control
Case studies
Proof that automation is strongest when it is wrapped in real software.
These projects show the part that matters to clients: mapping the workflow, building the product surface, adding agent help where it is useful, and leaving behind software people can trust.
Real workflows, not demo theaterAgents used for review, speed, and operational memoryInterfaces built around the people running the business
Builder profileWorkflow before tools Agents with guardrails Built for operators
Senior implementation without the agency fog.
I am a full-stack engineer with 6+ years of experience designing and deploying production web, mobile, desktop, and operations software. I work across architecture, Firebase and AWS-backed infrastructure, APIs, release workflows, code review, QA, and product collaboration.
The useful part is the range: I can talk through the business workflow, shape the product surface, build the data path, and keep the release loop practical.
Start with the user path, the business pressure, and the smallest useful system that can remove real drag.
Use Codex, Claude Code, and LLM APIs for leverage while keeping architecture, review, QA, and release judgment human-owned.
Design for the people running the system: queues, exceptions, telemetry, approvals, support recovery, and clear handoffs.
Build flow
How I move from manual process to working system
- 01Map the workflow
- 02Prototype the surface
- 03Build the data path
- 04Instrument the release
- 05Tighten from feedback
Stack
What I work with
- LanguagesTypeScript, JavaScript, Python, Swift, SQL, PostgreSQL, HTML/CSS
- MobileReact Native, Expo, iOS, Android, App Store, Google Play
- FrontendReact, Next.js, Angular v10+, TailwindCSS, responsive UI systems
- Backend & APIsNode.js, Express, Flask, RESTful APIs, Swagger/OpenAPI, SQL Alchemy
- Cloud & DataFirebase, Supabase, AWS Lambda, MongoDB, PostgreSQL, Cloud Storage
- Engineering ToolsGit, GitHub, CI/CD pipelines, Figma, Claude Code, Codex, RAG pipelines
- PracticesAgile, TDD, OOP, code review, release management, QA workflows
More shipped work
Additional products, client builds, and release-ready interfaces.
The deep-dive projects above show the agentic workflow story. This section keeps the broader portfolio easy to scan without repeating the same cards.
5 shipped projectsMobile, web, desktopCloud, media, AI, ops
Contact
Send me the workflow you want automated.
Send the messy version: what your team does manually, where the handoff breaks, what data or tools are involved, and what a win would look like. I will help turn it into a practical build plan.
AI automation sprintInternal dashboardCustomer portal or appMonthly workflow retainer