Kruzeniski Studio · AI Product & Development
We also build the software.
The same team that runs the agent stack is a senior product studio. We help founders turn complex ideas, prototypes, and unfinished codebases into fast, reliable, production-ready software — AI web apps, full-stack SaaS, product rescues, and game platforms.
90+
API routes shipped
260+
automated tests
10
autonomous agents
23
table schemas
60+
route game hub
How our AI works
Software that takes
real, bounded actions.
We architect agents that take real, verifiable actions — tool calls that mutate databases, multi-model pipelines, publishing flows — always behind validation and a human approval gate. The gate isn’t a limitation to apologize for; it’s the reason the automation is safe to adopt.
// Beatwire publishing pipeline — illustrative
await radar
.cluster(signals) // group breaking stories
.draft({ models: 4 }) // multi-model draft
.review() // automated checks
.awaitApproval() // ← required human gate
.publish(channels); // only after a human says yesWhat We Ship
Four ways we ship software that works.
From new AI products to rescuing stalled codebases and building game platforms — one senior studio, honest scope.
AI Application & Agent Development
Beyond chat bubbles — multi-agent systems, tool-calling workflows, knowledge-grounded generation, and voice pipelines that take real, verifiable actions.
- Multi-agent orchestration & cross-agent handoffs
- Function calling & tool execution against live databases
- Shared workspace memory & knowledge bases (RAG)
- Multimodal capture (screenshot / document-to-data)
- Voice integration (browser STT & TTS)
- Human-in-the-loop approval workflows & draft safety queues
Proof: Beatwire · Agentic Work OS · Kruzeniski.ai
Full-Stack Product & MVP Builds
Turn early specs or wireframes into a fully functional, cloud-hosted SaaS with clean architecture you can keep building on.
- Next.js App Router, React, TypeScript, Tailwind
- PostgreSQL (Supabase / Neon) with typed data access
- Clerk auth, RBAC, and multi-tenant security
- REST & tRPC API development
- Stripe / payment webhook architecture
- Vercel serverless deployment & CI/CD
Proof: Agentic Work OS · Sweatbox · Beatwire
Product Rescue & MVP Acceleration
Stuck with a broken MVP or unmaintainable AI-generated code? We audit, refactor, complete missing integrations, and push it across the finish line.
- Codebase & architecture security audits
- Database schema reconciliation & migration repairs
- Authentication & state-management rewrites
- Replacing broken API mocks with live handlers
- UI/UX polish & responsive layout refactor
- Accessibility compliance & screen-reader overhaul
Ideal for: Founders with stuck projects or tight launch deadlines.
Game Systems & Companion Hubs
Modern games live beyond the executable — game UI, strategy manuals, stat trackers, web companion hubs, and interactive AI-character experiences.
- Unity C# gameplay systems, UI, & dynamic menus
- Multi-route web companion platforms
- Field manuals, item databases, loadout builders
- Battlelog match histories & stat-tracking UIs
- In-world AI NPC and operator chat
- Marketplace and collection explorers
Proof: Grunts · World War 0x · Curfluffle
How We Work
Predictable milestones, clean code.
Technical discovery & architecture
We analyze your requirements, data model, and integrations, then deliver a clear technical spec, route map, and schema before writing code.
Foundation & auth setup
We stand up the repository, design system, database connections, and authentication boundaries to guarantee secure multi-tenancy.
Core workflow & AI integration
We build the main interfaces and wire up real model calls, tool handlers, and endpoints — focused on state persistence and real database mutations.
QA & accessibility polish
We run typechecks, tests, and screen-reader verification — visible focus, high contrast, and responsive mobile layouts.
Production deployment & handoff
We deploy to Vercel, configure DNS and SSL, set up crons and webhooks, and hand over complete documentation.
Engagements
Scoped by engagement, not public price lists.
Every estimate is tailored during a short discovery conversation.
1–3 weeks
Focused Build Sprint
Add a specific AI feature, build a dashboard, or resolve code debt.
4–8 weeks
Complete MVP Build
Turn an approved spec into a launched, production-ready product.
2–4 weeks
Product Rescue & Launch Pass
Audit, refactor, and launch an existing messy repo.
Retainer
Ongoing Development Partner
Dedicated weekly capacity for continuous iteration and scaling.
Why Us
Senior product thinking. Hands-on execution.
AI that stays in bounds
Safety queues, human-in-the-loop review, and strict tool-execution boundaries in every product. The system refuses to act unilaterally — and clients trust it more for it.
Accessibility-first
Built and tested with a screen reader from day one. Visible focus, semantic structure, and real keyboard paths — which turns out to help everyone.
Direct senior access
No account managers, no telephone game. You work with the builder — senior product thinking and hands-on execution, without the agency bloat.
Selected Work
Real products, shipped.
A family of AI apps, platforms, and games — each built and run by this team, each sharing the same bounded-action architecture. Open any one for the full build story.
Beatwire
AI PublishingIn Development
An AI newsroom OS that turns scattered signals into published, human-approved stories — multi-model drafting, AI editorial review, and one-click multi-channel publishing. It also powers the Content Agent in this dashboard.
Read the case study →Sweatbox
AI VideoPrivate Beta
A browser production studio that kills canon drift — a context engine injects locked lore into every script, storyboard, and voice generation, so characters stay consistent shot to shot.
Read the case study →Grunts
Game PlatformEarly Access
A 60-route web companion that unifies an entire live-service shooter — field manuals, Battlelog stats, a collection explorer, and in-character AI operators — into one branded hub.
Read the case study →Kruzeniski.ai
Growth MarketingPrivate Beta
A multi-agent marketing OS that drafts complete campaigns as reviewable work — SEO, content, social, and more — with every external publish held behind a human approval gate.
Read the case study →Curfluffle
AI Game StudioIn Development
An AI game development studio that orchestrates agent departments — documentation, QA, production memory, and asset management — to help creators build games, templates, and worlds.
Read the case study →AccessiblePlus
Assistive TechIn Development
A screen-reader-first AI coaching platform — personalized voices, persistent memory, and full keyboard navigation, built for accessibility from line one rather than as a compliance layer.
Read the case study →Guides
How agentic software actually works.
Plain-language explainers on each piece — the agent loop, integrations, grounding, on-brand output, and how we build it — using our own projects as the worked examples.
Agentic foundations · 6 min
How agentic AI actually works: the tool-calling loop
“Agentic” gets used loosely. Underneath, it's a specific, understandable loop: the model proposes an action, your code runs it, the result goes back in. Here's the whole mechanism, plainly.
Read the guide →Agentic foundations · 5 min
From chatbot to operator: designing AI that takes safe actions
The gap between a demo and a product is safety. Here's the pattern we use to let an AI change real data — typed tools, server-side validation, and an approval gate — so it's capable without being reckless.
Read the guide →Architecture · 6 min
Building a multi-agent stack: how ten agents share one brain
Ten agents that each start cold produce ten disconnected snippets. The trick to output that feels like one team is shared context and structured handoffs. Here's how the stack is wired.
Read the guide →Integrations · 5 min
Connecting social accounts the right way: OAuth, encryption, and manual-confirm posting
Posting to X, Facebook, and LinkedIn from an app means holding the keys to someone's audience. Here's how we do it safely: scoped OAuth, encrypted tokens at rest, and a posting flow that always ends in a human click.
Read the guide →Integrations · 4 min
One pipeline, many destinations: publishing to WordPress, Ghost, and newsletters
A story that's ready shouldn't need re-formatting for each platform. Here's how a single pipeline pushes finished content to WordPress, Ghost, and email — with the same approval gate in front of every destination.
Read the guide →AI engineering · 5 min
Grounding AI in real data: live crawling and RAG vs. stale training
A model's training data is frozen in the past. For anything about the live web — your site, your rankings, today's numbers — you have to feed it fresh context. Here's how grounding works and when to use which kind.
Read the guide →AI engineering · 5 min
Keeping AI on-brand: voice profiles, canon, and shared context
Generic AI output reads generic. The way to make it sound like you — or stay true to a fictional universe — is to make consistency a system feature, not something a person has to remember every prompt.
Read the guide →AI coding · 6 min
How we build fast with AI coding — the workflow behind these apps
These products were built by a small team moving quickly with AI in the loop. Speed like that only works with guardrails. Here's the actual workflow — specs first, tests always, human review at the edges.
Read the guide →Architecture · 5 min
Running agents on a schedule: cron, routines, and draft-first automation
An agent you have to trigger by hand isn't really a worker. Here's how we let agents run on their own each day — producing drafts on a schedule — without ever crossing the line into acting unsupervised.
Read the guide →Field Notes
Notes from the build.
AI engineering · July 22, 2026 · 4 min
AI operators that take real actions
Most AI features stop at generating text. The useful ones execute bounded, validated actions. Here's the pattern we use to let agents change real data safely.
Read →Product judgment · July 18, 2026 · 3 min
Why AI publishing still needs a human approval gate
Automating the boring 90% of publishing is a huge win. Automating the last 10% — hitting publish — is where trust is won or lost.
Read →AI engineering · July 12, 2026 · 4 min
Keeping canon consistent across an AI production pipeline
Character drift is the quiet failure mode of creative AI. Consistency has to be enforced by the system, not remembered by the creator.
Read →Accessibility · July 6, 2026 · 3 min
Accessibility lessons from building with a screen reader
When you use a screen reader every day, accessibility stops being a checklist and becomes the way you build. It improves the product for everyone.
Read →Start a Project
Ready to turn your idea into a working product?
Tell us what you're building, the code you have, or the problem you need solved. We'll reply within 24 hours with practical next steps.