Use these products as practical examples of what M1Logic can help with: AI where it helps, deterministic systems where accuracy matters, data people can act on, and interfaces people can actually use.
Turns a local business website and offer into a repeatable EDDM campaign workflow with previews, route focus, pricing, approval, and print/drop prep.
Technical challenge: keeping AI-assisted creative inside a deterministic production system: extracted brand assets, smart placement rules, safe text overlays, route/pricing data, approval states, and print/drop handoff steps all have to line up.
Visit snapad.io
Tracks public scratch-off lottery data with game rankings, prize inventory, heatmaps, map views, EV-style comparison, alerts, and AI insight previews.
Technical challenge: turning changing public data into a ranked analysis product with consistent scoring, explainable tables, heatmap-ready metrics, map-ready records, and subscription-aware feature paths.
Visit lottometry.com
A public record and documentation layer for inventors who need to timestamp ideas, collect support material, and create a durable authorship trail with a crypto/blockchain-aware provenance edge.
Technical challenge: making an idea-submission flow feel simple while preserving structured records, supporting materials, public/private boundaries, review paths, and proof-of-authorship concepts that can mature toward blockchain-style provenance.
Visit themindmine.io
A shipped iPhone word puzzle game with rotating globe boards, wormhole passages, star-map progression, daily play, accessibility-minded controls, App Store release experience, and monetization workflow familiarity.
Technical challenge: building a puzzle engine and mobile interface that keeps touch input, board state, progression, saved play, daily routines, accessibility preferences, App Store packaging, and monetization paths feeling calm and reliable.
Play Orbital Word Search
Not every useful system is fully launched yet. Some of the strongest technical work is happening inside active prototypes where the goal is to solve hard implementation problems before the packaging is finished.
An iPhone app for scanning U.S. currency, extracting bill details with on-device OCR, keeping a private local trail, and optionally publishing a shared public trail through CloudKit.
Technical challenge: combining camera capture, OCR, local-first record keeping, map history, privacy boundaries, and optional public publishing without turning the scanning flow into a mess.
In progress: OCR, scanning, map history, and privacy-aware publishing
A marketplace concept for unfinished software where buyers review immutable project snapshots, disclosures, scan results, and escrowed delivery instead of relying on vague seller claims.
Technical challenge: making a risky transaction type feel trustworthy through hashing, immutable snapshots, disclosure records, scan pipelines, and delivery controls.
In progress: trust systems, provenance, and safer software transfer workflows
A prototype for mapping websites, discovering forms, proposing navigation paths, and assisting with portal workflows while keeping sensitive or final-submit moments behind human approval.
Technical challenge: automating enough of a portal workflow to save time without pretending ambiguous steps, MFA, payments, or final submissions should be fully blind.
In progress: form mapping, workflow planning, and safer automation boundaries
The same approach behind these products applies to client work: understand the bottleneck, design the simplest useful system, and ship something people can actually use.
AI can help with drafts and creative variation, but the useful system is usually the surrounding machinery: deterministic rules, human review, clean handoffs, and outputs that can be checked.