Live Build — Google Play Coming Soon
MyPantry
A practical food tracker focused on meal logging, pantry visibility, and reducing friction around grocery workflow planning. Published in partnership with jefehz.org.
Projects
Pixel Forgeworks documents project work across live product builds and operational case patterns. The goal is to surface practical tools early while still showing the systems and field work that informs how they are built.
Featured Products
Product work at Pixel Forgeworks stays practical, workflow-aware, and grounded in real behavior rather than generic app polish.
In Development — Google Play Coming Soon
KaizenMind
A mobile-first self-regulation app that applies label, measure, review, improve to habits and urges so behavior can improve through insight instead of shame. Published in partnership with jefehz.org.
Feedback
Feedback or ideas, email feedback@pixelforgeworks.com
Tools & Experiments
Hobby builds and side projects made because they seemed useful or fun.
Hobby Project
Dust & Dice
A browser-based campaign hub for a Wild West D&D group. Includes a campaign log, AI scene image generator powered by DALL-E 3, Wild West NPC name generator, and party inventory tracker with D&D Beyond item suggestions. No server required — runs entirely in the browser.
HTML
CSS
Vanilla JS
DALL-E 3
localStorage
Operational Case Patterns
These entries represent the systems, troubleshooting, documentation, and support patterns behind the broader Pixel Forgeworks practice.
1. Access Control and Smart Lock Integrations
Common pattern: Access events appear inconsistent after install, with doors, intercom routing, or credentials failing in edge cases.
Common causes: Partial integration assumptions, policy drift, reader-controller mismatch, or field conditions not represented in initial configuration.
Typical deliverables: Integration readiness review, field validation checklist, post-install verification notes, and escalation ownership map.
Example work: Intercom and controller handoff package that reduced repeat install tickets and improved support routing clarity.
2. Network and Connectivity Troubleshooting for Edge Devices
Common pattern: Devices report online status while still failing key functions or showing intermittent behavior.
Common causes: Partial internet failure, DNS resolver issues, firewall policy blocks, VLAN segmentation errors, captive conditions, or unstable latency.
Typical deliverables: Root-cause evidence pack, configuration findings, installer-executable remediation sequence, and validation checklist.
Example work: Multi-site connectivity workflow that reduced escalation loop time for field and support teams.
3. Power Reliability and Site Hardening
Common pattern: Site instability appears after maintenance windows, brief outages, or assumed backup behavior.
Common causes: Weak power distribution planning, undersized UPS coverage, and controller sensitivity under non-ideal conditions.
Typical deliverables: Prioritized risk list, backup recommendations, site audit notes, and failure-mode validation checklist.
Example work: Door-controller power audit with a corrective sequence that improved uptime and reduced repeat dispatches.
4. Field-Ready Runbooks, SOPs, and Decision Trees
Common pattern: Repeated incidents are handled differently across teams, causing inconsistent outcomes and avoidable escalations.
Common causes: Missing procedural ownership, implicit knowledge transfer, and no clear decision path for operators under pressure.
Typical deliverables: Stepwise runbooks, triage trees, quick-reference guides, and escalation templates tied to evidence requirements.
Example work: One-page triage flow and escalation template adopted by both field installers and support operations.
5. Support Workflow and Context Enrichment
Common pattern: Tickets arrive with incomplete context and triage quality depends on who opened the case.
Common causes: Weak field standards, missing workflow definitions, and no repeatable context-enrichment path.
Typical deliverables: Workflow recommendations, field mapping specs, intake definitions, and reporting-ready ticket structures.
Example work: Context-enriched support workflow proposal that improved handoff clarity and shortened technical triage cycles.
6. Linux Diagnostics and Lightweight Automation Tooling
Common pattern: Troubleshooting quality varies because evidence collection is manual and inconsistent across environments.
Common causes: No shared utility set for log capture, validation checks, and baseline environment sanity testing.
Typical deliverables: Focused utilities, repeatable diagnostic bundles, validation scripts, and practical hardening guidance.
Example work: Linux incident bundle used for consistent edge-node evidence collection during live escalations.
7. Agentic AI Workflow Design
Common pattern: Repeated escalation and triage work consumes expert time because there is no system to route common patterns before they reach senior operators.
Common causes: Expert knowledge is implicit, routing depends on who is available, and no structured agent layer exists to handle repeatable decision paths.
Typical deliverables: Agent architecture map with defined roles and handoff boundaries, prompt and routing logic grounded in real support patterns, and ownership documentation so the system can be maintained by the team.
Example work: Multi-agent orchestration design for a support and solutions architecture team, reducing repeated escalation work and surfacing relevant knowledge faster.
8. Process Digitization and Field Flow Capture
Common pattern: Installer and field workflows run on verbal handoffs and muscle memory, making them fragile under staff changes, scale, or audit pressure.
Common causes: No structured intake for field work, no-ticket scenarios that leave support blind, and process steps that exist only in experienced operators' heads.
Typical deliverables: Digitized workflow map with steps, owners, and decision points; ticketing-ready intake fields; field-facing reference docs; and a gap analysis showing where the process breaks under real conditions.
Example work: Installer flow capture that converted a no-ticket handoff process into a structured, trackable workflow with clear escalation paths.