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Work

Built from real operational use cases.

Representative project areas, the kinds of systems we design and build through our AI solutions — and full case studies of real builds: Orchid, an agentic operations layer, Insights, a grounded hospitality intelligence platform, a local AI operations layer for real estate management, and the JEGantic app, a fully developed membership iOS app.

01 Selected work

Case studies from live production systems.

Full write-ups of real builds, named where permitted and anonymized where needed.

Case study 01 · JEGantic Hospitality

Meet Orchid. One AI operations layer for 8+ venues.

A persistent, multi-agent AI system answering from live POS, reservation, and ticketing data in WhatsApp and Discord — with hard per-venue data boundaries and human approval on anything irreversible.

Read the case study
8+ venues
on one operations layer
11 agents
specialized and strictly data-scoped
6 platforms
integrated live — POS, CRM, ticketing, and more

Case study 02 · Multi-venue restaurant & nightlife group

Four systems. One truth. A grounded AI analyst on top.

A hospitality intelligence platform reconciling sales, reservations, phone coverage, and reviews behind one canonical venue registry — with a zero-hallucination AI analyst whose every number comes from live data.

Read the case study
4 systems
with no shared keys, reconciled into one
12 AI tools
grounding every answer in live data
44 functions
serverless, over 15 months of production hardening

Case study 03 · Real estate management company

Messy intake. Review-ready work. A local AI operations layer.

A local OpenClaw deployment that routes Slack, WhatsApp, email, documents, images, and tenant records through seven specialist agents — with durable queues, OCR pipelines, deterministic scripts, and approval gates around sensitive work.

Read the case study
7 agents
coordinating real estate operations locally
5 intake paths
Slack, WhatsApp, email, documents, and manual work
Review-first
legal, financial, tenant-facing, and external actions gated

Case study 04 · JEGantic Hospitality · Native iOS

The club, in your pocket. A fully developed membership app.

A premium SwiftUI iOS app turning a VIP nightlife membership into one native journey — tiered loyalty, live SevenRooms reservations, points-to-cash rewards, TIXR events, and a signed Apple Wallet pass.

Read the case study
4 tiers
Silver to Elite, each with its own living card
7 platforms
SevenRooms, TIXR, Supabase, Firebase, Wallet, and more
100% SwiftUI
native, cache-first, and offline-ready

02 Project areas

Project areas we build in.

Representative kinds of systems we design, ship, and run, drawn from real operational builds.

PROJECT AREA 01

AI reporting workflows

Reporting that builds itself. Raw activity becomes clear, timely numbers, delivered to the people who decide with them.

PROJECT AREA 02

Hospitality operations systems

Operating systems for hospitality teams that connect the moving parts of service, from the back office to the floor.

PROJECT AREA 03

Internal automation stacks

Connected automations that quietly remove repetitive manual steps across a company's tools and teams.

PROJECT AREA 04

Custom AI copilots

Assistants grounded in a company's own context and rules, working inside the tools the team already lives in.

PROJECT AREA 05

iOS app venture

A native iOS build where AI and business systems sit at the center of the product, not bolted on at the edges. See the JEGantic app.

PROJECT AREA 06

Business intelligence dashboards

Live dashboards that turn scattered data into a single, trustworthy picture of how the business is running.

PROJECT AREA 07

Knowledge base and RAG systems

Business search over internal knowledge that returns answers with sources, so people can actually rely on them.

Representative project areas, built from real operational use cases. Named client work is shown with permission. Have a similar problem? Start a conversation or read about our AI consulting and readiness audits.

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