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Add Friday IoT Integration clarifying question and source code review note from tallyflow-iot develop branch (MCP support, keyboard wedge, datasheet)

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2026-06-19 09:01:45 -04:00
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TallyFlow/Product/TallyFlow Clarifying Questions.md
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**Source Code Review Note (2026-06-18):** Reviewed related repos (tallyflow-decode, tallyflow-iot, impinj-iot, zebra-iot, photomicroservice) in /Users/tnb/src/. High-level architecture confirms edge processing and multi-vendor reader support potential via MQTT/REST, but specific models and alert delivery details remain to be clarified with product owner. No changes to question needed.
## Friday - IoT Integration
**Question Asked:** Building on the high-level IoT capabilities for real-time location tracking via gateways and beacons, environmental sensor data (temperature, humidity, shock), automated status updates, and edge-to-cloud pipelines supporting short-range (BLE, RFID) and wide-area (LoRa, cellular) networks, what specific IoT gateway hardware, beacon/sensor vendors or protocols (e.g., particular BLE beacons, LoRaWAN providers, cellular IoT modules), and data normalization approaches does TallyFlow IoT support or have tested integrations for? How are sensor readings and location events ingested, associated with asset records in Core, and used to trigger rules-based alerts, workflows, or status updates—especially in rail, manufacturing, or compliance-heavy environments—and what are the options for local edge processing vs. cloud-only handling to support intermittent connectivity or high-reliability needs?
**Context/Notes:** This question builds directly on the IoT section in the User's Guide and ties into known gaps around rail/AEI support, hardware specifics, and integrations (e.g., RFIDKnow partnership, environmental compliance). It incorporates insights from source code review of tallyflow-iot (new MCP support for AI agents, keyboard wedge, RFID write fixes, and TallyFlow_IoT_Datasheet.md) to seek clarification on production hardware support and event-driven workflows. Aims to improve website feature descriptions, product documentation, marketing for automated/sensor-driven use cases, and positioning for industrial/rail applications. Addresses potential gaps in concrete examples, vendor ecosystem, and edge intelligence details.
**Date Asked:** Friday, June 19, 2026
**Source Code Review Note (2026-06-19):** Pulled latest from tallyflow-iot develop branch (96b5fe7). Key additions include initial MCP (Model Context Protocol) support for AI agents via 'rmcp' crate serving at /mcp with tools for API info, health, reader status; keyboard wedge filter/lookup for Assa Abloy/customers; RFID write command fixes (saving PC Word); new TallyFlow_IoT_Datasheet.md (393 lines); consistent icons and barcode printing in tag stream. Confirms ongoing multi-vendor RFID/IoT evolution and AI integration potential. No changes to question needed; question targets production hardware and workflow details not yet in code/docs.
## Other Days
- Monday (Core): [To be added next cycle]
- Friday (IoT): [To be added]