Freight Triage Control Tower
Turns flagged shipment email into owned, SLA-backed triage work with queues, item detail, aging, and resolution views.
Solutions · agents · useful things
I design practical AI systems, agent teams, and business applications that move from idea to working proof fast - without giving up the human judgment that matters.
Independent projects. Clear boundaries. Practical possibilities.
Nine customer-neutral projects, reconciled from the live portfolio. Open a public prototype or go directly to its public source.
Turns flagged shipment email into owned, SLA-backed triage work with queues, item detail, aging, and resolution views.
A multiplayer prompt-engineering escape room that turns clearer instructions, constraints, and creativity into a playable team challenge.
A voice-first seller reference for Dynamics 365, Copilot Studio, Microsoft 365 context, and Azure AI Speech with clear implementation guardrails.
A configurable agent team using GitHub Issues as the work queue, specialized personas, outcome gates, Azure Functions, and OpenAI.
An adaptive D365 and Dataverse web resource that unifies cases, orders, entitlements, contacts, and operational context on core forms.
A local-first React control surface and migration playbook for replacing a subscription smart-home stack with Home Assistant.
A Power Platform starter with Copilot Studio agents, Canvas Apps, flows, and Dataverse tables for warranty and claims workflows.
A voice-first multi-agent flow that turns a spoken seller update into structured CRM, attainment, and recognition actions using synthetic data.
A hands-on MCP server lab showing how to deploy a tool and connect it to both GitHub Copilot and Microsoft Copilot Studio.
I work across the whole path: framing the outcome, shaping the architecture, building the interface, wiring the platform, and making the handoff usable.
Orchestration, tools, grounding, MCP, evaluation, feedback loops, and explicit human gates.
Dynamics 365, Dataverse, Power Apps, Power Automate, and Copilot Studio experiences grounded in real operational jobs.
Responsive prototypes, voice-first interfaces, control towers, web resources, and demo systems people can test instead of imagine.
Clear ownership, evidence, observability, security boundaries, portable skills, and reviewable actions turn one-off AI moments into reliable ways of working.
I am Bill Whalen, a Minneapolis-based technologist at Microsoft. I work at the seam between people, AI, and business systems: finding a stubborn workflow, framing the real outcome, and making the idea tangible enough to test.
The artifact might be a multi-agent team, a Dynamics 365 accelerator, a voice-first interface, an operating system for field work, or a game. The common thread is practical: working software, clear boundaries, and an adoption path.
Define what changes for the person doing the work before choosing the model or platform.
A working prototype creates better decisions than another round of abstract architecture.
Automation should increase leverage without hiding uncertainty, ownership, or irreversible action.
Turn validated patterns into accelerators, skills, and handoffs other builders can use responsibly.
The approved direction keeps future project pages, field notes, feeds, and agent discovery aligned to the same reviewed public release record.
A reusable public detail-page pattern for the problem, build, synthetic walkthrough, architecture, prerequisites, limits, and approved links.
release record → project page
Release-centered articles, RSS, and Atom are planned surfaces. No feed endpoint or subscriber-address store is active on this site.
release record → article / rss / atom
A separately hosted MCP service may later expose only approved public releases. GitHub Pages cannot host that server, and none is connected here.
release record → public read operations
Architecture only. This portfolio does not currently publish a release catalog, feed endpoints, or an MCP server. Those surfaces require separate release and hosting approval.