Product engineers who design and build with you.
We partner with your team to lead product, design and build, with AI as the execution lever.
Estimate
Scope, risks, phase one
Validate
Mockups, flow, direction
Build
Controlled sprints
Support
Retainer continuity
Estimate
Scope, risks, phase one
Validate
Mockups, flow, direction
Build
Controlled sprints
Support
Retainer continuity
Trusted by product teams
Different roles. Same kind of pressure.
CTOs
You're carrying roadmap pressure, vendor risk, and production accountability — often all on the same Tuesday.
We partner as product engineers, settle technical direction before sprints, and stay attached after launch.
VPs of Product
Stakeholders want dates. Engineering wants estimates. The gap keeps landing on you.
We scope, mock up, and ship in controlled sprints — so you stop translating between disciplines.
Non-technical founders
You believe in the problem. You don't yet trust your scope, vendors, or sequencing.
We phase the build before the budget disappears, in plain language.
Startup product leaders
Customer commitments, AI experiments, support load, new feature pressure — all at once.
We keep speed coming from cleaner decisions, not skipped ones.
Focus areas
We work across product, software, cloud, analytics, technical leadership, and AI systems. These two areas are where demand is concentrating right now.
AI orchestration for your business
AI workers, routines, handoffs, and context management can act as a lower-cost operating layer. The model extends beyond engineering into day-to-day execution.
AI security
Prompt injection, data leakage, tool permissions, and output controls can be reviewed during delivery. Risk handling stays inside the build path, not bolted on later.
The same engineers, after launch.
The team that designed and built the product stays attached. Fixes, hardening, and AI risk don't get handed to strangers.
Same team, post-launch
Launch does not trigger a handoff to strangers. The team that scoped and built the product stays attached.
Priority response
Support expectations are set before the release date, not improvised during the first production issue.
Roadmap continuity
Follow-on change work stays attached to the team that already knows the tradeoffs, instead of restarting with a new vendor queue.
Production hardening
Observability, release readiness, and follow-on change handling are part of the model, not an afterthought.
What we've built with our partners.
Each engagement carried real product pressure — workflow density, AI behavior, regulated trust, or launch risk.
Creative proofing SaaS
Ashore
Workflow-heavy product work around approvals, review states, and releases that have to stay dependable.
Visit siteVoice-first AI product
Tavern Scribe
Voice-first AI operations for tabletop RPGs — campaign tracking, summaries, and itemization of every entity in play.
Visit siteAI sales + insurance CRM
Luminary Life
AI sales agent, a live coach for human agents on calls, custom RAG, and a full CRM with Twilio integration.
Visit siteSupply chain platform
Vibronyx
A supply chain system for planning deployments and simulating supply chain risk before it cascades.
Visit siteCan't justify a full LOJI engagement yet?
Use Automa to onboard an AI workforce across the business. We created it for LOJI's own workflows, used it in client delivery, and are now opening it up so other organizations can capture the same leverage.
Beyond engineering
Expand AI support across operations, research, support, leadership, and delivery.
AI workforce management
Run role-based workers, routines, prompts, and handoffs in one operating layer.
Built from real pressure
It came out of real zero-to-two delivery pressure, not a generic AI tool wishlist.
Recent writing on delivery, AI hardening, and launch risk.
May 6, 2026
Can You Launch an App With AI? Yes, But Not Blindly
AI tools can help founders get from idea to prototype quickly. The launch risk begins when planning, architecture, security, and support are treated as optional.
May 6, 2026
Vibe Coding Technical Debt: What Breaks After the Demo Works
Vibe coding can create a working app quickly. The debt shows up when every new change gets riskier, security is unclear, and the product needs real users.
Apr 21, 2026
Daniel Noel on Zero to Two: The Valley Between 'It Works' and 'People Use It'
Daniel Noel explains what happens after a product becomes feature-complete: the hard shift from building software to winning attention, trust, and real usage.