01
Triage
Make the build / no-build call
Clarify the business problem, current workflow, constraints, ownership, and whether AI belongs in the solution at all.
Problem fitWorkflow painExpected return
Output
Build decision
AI systems, product execution, and interactive media
Galitzer.ai
I help teams, founders, and creators turn AI uncertainty and ambitious ideas into practical systems, custom software, interactive experiences, and working products.
What Galitzer.ai builds
Practical AI systems, from first use case to working product.
I help teams decide where AI is useful, design the workflow around it, and build the tool, automation, or product surface that makes it real.
Across every phase
Ongoing advisory
Tool evaluation, vendor tradeoffs, and implementation risk stay connected from the first decision through handoff.
Process
Four gates from first conversation to team handoff.
Each stage ends with a concrete decision or artifact. Stop with clarity, continue into a focused build, or carry a working system forward without unnecessary dependency.
01 / Triage
Build decision
02 / Scope
Tight build spec
03 / Sprint
Working beta
04 / Handoff
Team-owned system
Build rail
First conversation to team handoff
02
Scope
Define the smallest useful version
Set the users, data, approvals, review gates, success signal, and launch boundary before the build starts.
UsersDataReview gates
Output
Tight build spec
03
Sprint
Build against real inputs
Turn the spec into a working tool, automation, or workflow your team can test with realistic cases.
InterfaceAutomationReal inputs
Output
Working beta
04
Handoff
Make the system usable without me
Test edge cases, document use, assign ownership, and decide what gets improved, automated, or left alone.
TestingDocsOwnership
Output
Team-owned system
Working rule
No build without a clear owner, review gate, and success signal.
Selected product systems
Four products that show the work, not just the stack.
Public products and private systems across health, sports intelligence, solver-backed training, and approval-gated agentic operations.
View GitHub profileFull-stack ownershipProduct architecture, interfaces, APIs, data models, access control, testing, and deployment.
Applied AI depthRetrieval, embeddings, structured outputs, tool calling, agents, voice, and evaluation workflows.
Operational disciplineHuman review, monitoring, cost tracking, security decisions, error handling, and iteration.
Public productSports-market intelligence
Betnix.ai
A multi-source decision platform spanning odds, prediction markets, line movement, contextual signals, scoring, backtesting, and customer-facing intelligence.
Data pipelinesScoringDecision UI
View live product
Public productHealth intelligence
Psyvera.ai
A brain-behavior platform spanning structured assessments, persistent profiles, document intelligence, citation-backed retrieval, and safety-aware review.
RAGPersistent profilesSafety
View live product
Private buildSolver-backed training
Pokes
A heads-up no-limit Hold'em training product with canonical spot validation, real equity paths, solver-backed coaching, and an auditable review warehouse.
Next.js + FastAPIPokerKitTexasSolver
Private system - architecture available to discuss
Private workbenchAgentic operations
TradingAI
An options operations control plane for research packets, policy checks, explicit approvals, evidence capture, reconciliation, dashboards, and outcome learning.
Risk gatesAudit trailHuman approval
Private system - architecture available to discuss
Production repositories remain private. The public profile is linked for identity and activity; implementation details, architecture, and development evidence are available in a project conversation.
Professional background
The detailed technical record.
Role-specific versions of the same hands-on work are available to clients, collaborators, and hiring teams who want the full technical context.
Primary profileFull-stack AI and interactive systemsProduct engineering, applied AI, game engines, 3D production, editing, and selected project work.View PDFEvaluation profileAI code evaluation and application developmentCode review, debugging, edge cases, testing, and model-output evaluation.View PDF
Interactive + media
Systems thinking across code, motion, and form.
Beyond AI products, I develop playable experiences, 3D assets, animation pipelines, and edited media. I can prototype the system behind an idea and shape the interaction and story people experience.
Web / interactive / 3D / animation / video / audio
3D production
Modeling, materials, texture sets, export validation, and implementation planning from Blender into live engine systems.
Animation systems
Playable prototype
Games and interactive systems
Playable mechanics, combat, abilities, AI behaviors, progression, persistence, UI, and testing across Unreal, Unity, Godot, Roblox Studio, and UEFN.
3D assets and animation
Blender modeling, texturing, game-ready exports, character and weapon assets, rigs, retargeting, animation QA, and engine integration.
Editing and visual storytelling
Film-informed composition, pacing, continuity, montage, captions, sound-image relationships, and post-production for product, narrative, and educational work.
Current work spans real-time game systems, Blender-to-engine asset pipelines, character animation coverage, product visuals, and short-form media built for web and platform delivery.
AI without the hype
Practical AI, with the risks made explicit.
AI is useful only when the value, limits, and human responsibilities are clear. I help teams decide where it belongs, where it does not, and how to build systems people can trust.
01Value vs. novelty
How I address it
Start with the workflow, cost, and expected return. AI earns a place only when it creates measurable leverage beyond a simpler solution.
02Automation risk
How I address it
Separate low-risk repetition from decisions that need judgment, then define review gates, approvals, and clear escalation paths.
03Reliability and auditability
How I address it
Make inputs, outputs, model behavior, and human decisions traceable so the system can be reviewed, tested, and improved over time.
04Privacy and sensitive data
How I address it
Map what data the workflow touches, minimize exposure, and set practical boundaries for models, vendors, access, and retention.
05Tool sprawl and lock-in
How I address it
Choose the smallest durable stack, keep important data portable, and avoid dependencies that do not create lasting value.
06Overbuilding too early
How I address it
Validate the smallest useful version with real users and real inputs before expanding the interface, automation, or infrastructure.
Work with Galitzer.ai
Bring the problem, product, or creative brief.
Business teams, founders, individual creators, and collaborators are all welcome. I will help clarify what is worth building, what should stay simple, and what a first useful version should look like.
AI auditFind the highest-value use cases.
Product buildPrototype the first useful system or surface.
Interactive and mediaShape playable, 3D, motion, and edited work.