EveryTech App Store
Location intelligence · AI governance · deterministic agent pipelines
One store for every app EveryTech ships. Search the outcome you need or browse by use case, then open a real, working surface built on the same discipline that runs our enterprise work — real data, an auditable trail, no slideware. FranchiseIQ, a franchise-site scoring engine live for the Philippines and Malaysia on a pilot dataset, is the first.
The app store
3 live · 1 waitlist · 6 totalPick a use case or search for the outcome you need. Every result is real, first-party EveryTech work — not slideware. Some are live and open now, some are in private beta behind a waitlist, and coming-soon entries are honest roadmap.
Franchise-site location intelligence on open government data
Live · PH + MYScore any neighborhood 0 to 100 for a franchise format, or reverse it to rank the best format for a location. Two live markets: Philippines (Quezon City, PSGC-keyed) and Malaysia (Kuala Lumpur, DOSM-keyed), both on open government data.
Open app→A free three-hour course that ends with one workflow you actually reuse
Live · Free · Works offlinePick one recurring task from your own job and take it all the way through: 24 lessons across six modules, about three hours. You finish holding a Workflow Card — an instruction block, the context it needs, an output contract, the limits, and a three-question check. It runs in the browser, saves as you go, works offline once loaded, and asks for no account.
Open app→A free 7-day course that turns a beginner into an AI engineer
Live · Free · Day 1 outWeek 1 teaches context engineering with Claude Code, concepts first: three days installing the tools and working out how the model behaves, then four days building Healthyfied Recipes, an iOS app that swaps the ingredients in a recipe for healthier ones without calling an API. Day 1 is published in full. The course costs nothing to follow. Claude Code itself needs a Claude Pro subscription.
Open app→Machine-readable intent specs and evaluation gates for AI output
In developmentThe governance layer behind our RAG work, packaged as a product: declarative intent specifications and automated evaluation gates that keep generated content grounded and compliant before it ships.
In developmentA mobile deep-link launcher for your apps, in private beta
Private beta · WaitlistDeep-links straight into the app you want — Gmail, WhatsApp, Uber, Spotify, and more — with an App/Play Store fallback if it isn't installed, plus an MCP server so an agent can hand off the same links. We're onboarding in small batches; join the waitlist for an invite.
Join waitlist→Deterministic multi-agent pipelines with an auditable trail
In developmentProduction-hardened agent networks with strict exception handling and a full execution ledger, so high-volume business logic runs predictably and every decision is accountable after the fact.
In developmentBuild discipline
Real data only
Every value carries its source and vintage. Modeled proxies are labeled as proxies, not presented as absolute truth.
One join key
For geospatial products, everything joins on a canonical identifier (PSGC in the Philippines). Name matching is forbidden outside one owned mapping step.
Explains itself
Scores and outputs render their own reasoning and weights, so a decision-maker sees exactly why the number is what it is.
Ships as a surface
Not a notebook. A working, clickable product on the same stack that runs our enterprise work.
From the practice
FranchiseIQ went from scope to a working app in a day, on open data. The same discipline applies to your proprietary datasets.
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