The ILS Operating System.
Three phases. One mental model. LEARN before we touch a keyboard. ADAPT before we ship. LEAD by iterating in production with your team.
LEARN: Understand the problem
Before code, before architecture, before recommendations — we map the territory.
Activities
- Stakeholder interviews and technical discovery
- Current-state audit of systems, data, and workflows
- Process mapping with the people who actually run them
- Identification of leverage points — where small changes compound
- Technical due diligence and risk assessment
Deliverables
- Strategic Intent Report with prioritized recommendations
- Current-state architecture and process diagrams
- Risk register with mitigation paths
- Engagement scope and success metrics
Timeline
1–2 weeks
Typical engagement window
ADAPT: Design the architecture
We design for the constraints you actually have — not the ones in a textbook.
Activities
- Systems architecture and data model design
- Technology selection with explicit trade-off documentation
- Prototype critical paths before committing to direction
- Validate assumptions with data and small experiments
- Define integration contracts and API boundaries
Deliverables
- Architecture decision records (ADRs)
- Data models, API specs, and integration maps
- Functional prototypes for high-risk components
- Implementation roadmap with milestones
Timeline
2–4 weeks
Typical engagement window
LEAD: Build and operate
Ship iteratively, operate in production, hand over what we built — and how to keep building it.
Activities
- Engineering in small, senior teams
- CI/CD with automated checks and AI-assisted code review
- Production deployment and observability setup
- Training your team alongside the build
- 24/7 managed operations or graduated handover
Deliverables
- Production-ready, fully documented system
- Operational runbooks and on-call procedures
- Trained internal team capable of continuing the work
- Continuous-improvement roadmap
Timeline
Ongoing
Typical engagement window
The infrastructure behind our work
Same tools we use for our own products. Battle-tested, opinionated, and chosen because they work — not because they're trendy.
GitHub
Source of truth, code review, AI-assisted PR analysis
NestJS
Production backend framework — typed, modular, testable
PostgreSQL
Primary data store with pgvector for AI features
Groq AI
Fast LLM inference for internal tooling and product features
Ready to run this on your problem?
Tell us what you're working on. The first call is 30 minutes, no pitch.
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