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Ogden, Utah[email protected]

Daenon Janis

Forward-Deployed AI Product Engineer

Daenon Janis in a flight simulator setup

I build AI workflow software and the systems around it: data, integrations, and security. I'm most useful when a founder or operations team needs one person who can figure out what's broken, build the fix, and teach people to use it safely.

Security Aware
Built security programs and compliant software from bootstrap through Series A
AI products
Ludflow, MCPViews, and DecidR MCP
Since 2019
Security, data, integrations, and AI adoption at Ivy Energy

AI Products

I've built three AI products. Each one gives AI better context or gives people a clearer way to review and act on what it produces.

Ludflow

Commercial platform

Documentation, data governance, and MCP context for AI tools. Ludflow also stores the documents behind DecidR MCP's decisions and projects.

AI documentationData governanceMCP

MCPViews

Open source

A desktop companion that shows AI agent output as reviewable interfaces instead of chat text. It carries workflows and instructions between tools and uses breadcrumb-style rule discovery to keep token use low.

Agent UIReview workflowsToken efficiency

DecidR MCP

Project management for AI teams

Project management and governance for teams that work with AI. It connects to any MCP-capable tool, so people can work with their AI assistants and still collaborate with each other asynchronously. Decisions, approvals, and implementation context stay in one place.

MCPDecision trackingApprovals

Ivy Energy

I joined Ivy Energy in 2019 as a web development contractor. The job grew into IT, Salesforce administration, data engineering, AI enablement, product R&D, and security.

I sit in on several teams' daily standups and turn what I hear into tools and training.

Security program

SOC 2

Built Ivy's SOC 2 program from scratch and still run it, including controls, evidence, access reviews, and process ownership. I'm the only person at the company responsible for cybersecurity, so I weigh every control against how fast the rest of the team needs to move.

Data and integrations

Snowflake, Salesforce, Odoo

Moved core data and reporting into Snowflake so operational data could be used reliably downstream. Connected Salesforce, Zendesk, Slack, ClickUp, Odoo, and Snowflake.

AI adoption

Operations teams

Taught non-technical teammates where AI helps, when its output needs a second look, and what data should never be pasted into it.

  • Coached safe prompting, output review, and sensitive-data handling.
  • Helped teams turn recurring tasks into repeatable AI-assisted workflows.
  • Kept the work tied to the systems the company already runs on.

Product R&D

Forward-deployed engineer

Worked in product R&D as a forward-deployed engineer.

Consulting

I take on data and AI builds, and I coach founders without a technical background through turning an idea into software they can review, ship, and keep reasonably secure.

Data pipeline and AI reporting

MLM health company

Built a custom data engineering pipeline for an MLM health company, with AI-enabled reporting that works directly inside ChatGPT.

SnowflakedbtAzureMCP

No Food Cravings

Founder coaching

Coached a non-technical product manager building an MVP for a health and behavior-change idea. The goal was a first version that was realistic, secure enough to learn from, and easy for its owner to understand.

  • Cut the idea down to an MVP with clear boundaries and priorities.
  • Coached security, account, data, and deployment decisions so early experiments didn't create avoidable risk.
  • Showed the product owner how to review AI-generated code and weigh tradeoffs without losing control of the product.

BitBooks

Team enablement

Gave a team of accountants, Bitcoin specialists, and other non-technical contributors a way to define requirements, review prototypes, report issues, and ship changes with confidence.

  • Set up a process for requirements, prototype and mockup review, and issue reporting.
  • Walked the team through dev, staging, and production releases with documentation and checkpoints.
  • Put safeguards in place to catch bugs, regressions, and vulnerabilities on a team with little engineering depth.

Open Source

Projects I build in public for the hardware I use: the Valve Steam Frame headset and Even Realities G2 glasses.

Valve Steam FrameFrametop

Frametop

VR desktop and open hand dataset

A multi-monitor KDE Plasma desktop for the Valve Steam Frame that runs on the headset itself. It combines a mouse, eye tracking, hand tracking, and voice, so you can look at something and pinch to click it. The goal is the best multimodal input on the headset, built in the open with the people who use it.

  • Built a community hand dataset on Hugging Face. Contributors record and review their sessions in the headset, under gated, consent-based access.
  • Wrote a custom hybrid compositor that runs KDE Plasma inside SteamVR, handing each screen over as an overlay without copying frames.
  • Built its own eye tracker, more accurate than SteamVR's. The pointer goes where you look and learns from each correction.
  • Added remote displays that stream Windows and Mac monitors into the headset, decoded in hardware.
  • Added on-device voice dictation and wake words. Speech is transcribed on the headset and typed into whatever app has focus.
  • Grew it to 280+ GitHub stars and a 100+ member Discord, with its own GitHub organization.

C++PythonOpenVRWaylandMediaPipeMoonshineHugging Face

Even Realities G2 glassesFaceclaw SDK, T3 Code bridge, Messages for Faceclaw

Faceclaw SDK

Android app SDK

An SDK in my fork of Faceclaw, the unofficial Even Realities G2 interface, that lets ordinary Android apps draw their own screens on the glasses. Each app keeps its own permissions and data, and the user approves which features it can use.

JavaKotlinAndroid

T3 Code bridge

Glasses app and computer bridge

Runs T3 Code on the glasses. The glasses app reads and continues agent conversations, starts sessions, and takes dictated replies for review. The computer bridge connects to T3 Code and transcribes speech locally with Whisper.

TypeScriptJavaTailscalewhisper.cpp

Messages for Faceclaw

Signal and SMS

A glasses inbox for Signal and SMS. Signal connects straight from the phone as a linked device, and T3 agents can draft replies that are reviewed and sent from the glasses.

KotlinlibsignalSQLCipher

Skills

AI product design

Prompts, context, tools, review steps, and interfaces built around a real job, so people can check the output and keep using it.

MCPAgent interfacesPrompt designHuman review

Data and integrations

Pipelines, APIs, warehouses, CRMs, and ERPs. This is the layer that decides whether an AI tool works in production or stays a demo.

SQLSnowflakedbtSalesforceZendeskOdooAPIs

Security and compliance

Permissions, controls, audit trails, and deployment risk, handled while the product is still taking shape.

SOC 2RBACAccess reviewsSecure delivery

Delivery and training

Turning a team's problem into a working first version, then teaching them to run it without me.

TypeScriptReactNext.jsRequirementsDocumentationTraining

About

I've always wanted to know how things work. I grew up building computers and repairing phones, and that curiosity turned into a career in software, security, and data.

Family photo of Daenon Janis, Julie Janis, and their child outdoors
With Julie and Orion in Ogden.

Family

I live in Ogden with my wife Julie, a YA fantasy author, and our son Orion. Another child is on the way.

Flight sim and VR

Flight simulation, VR, and AR mix software, hardware, and interface design, which makes them the fun version of my day job.

Efoiling

Lake days on an efoil, plus the maintenance that comes with gear that mixes water, batteries, and firmware.

Home lab and power

A home lab for trying out infrastructure, monitoring, and automation, and an interest in DIY solar and 120/240V backup power.

Contact

Email

For AI product roles, founder-led projects, internal platform work, consulting, or anything Ludflow and MCP.