AI Systems Architecture
Architecture review and implementation planning for AI systems that need clear operational boundaries.
- Component boundaries and handoffs
- Failure-mode mapping
- Execution and rollout plans
Software consultancy
AI systems architecture for real-time decision environments.
Parallax Beacon is a software consultancy advising founders and technical leaders on the architecture, evaluation, and deployment of AI systems.
We lead end-to-end engagements for teams building event-driven, LLM-enabled infrastructure where reliability, constraint, and correctness are critical.
- Architecture + implementation
- Startup & small business friendly
- Austin (US Central) · Remote
Services
Engagements are scoped to current constraints, team maturity, and delivery timelines.
Real-Time Event Systems
Event-driven platform design for teams where latency, traceability, and operational control all matter.
- Event contracts and versioning
- Idempotency and retries
- Observability baselines
LLM Guardrails & Evaluation
Practical safeguards and evaluation loops for systems that use probabilistic model behavior in production.
- Prompt and policy constraints
- Offline and live evaluation criteria
- Escalation paths for uncertain outputs
Modernization & Platform Rebuilds
Modernization strategy for teams replacing brittle architecture without losing business continuity.
- Incremental migration sequencing
- Risk-managed cutover plans
- Legacy contract compatibility
AI Workflow & Customer Support Automation
Workflow and support system design that improves response quality while preserving human oversight.
- Routing and triage automation
- Knowledge-grounded assistants
- Human-in-the-loop controls
Data Contracts & Schema-First Design
Interface and schema design patterns that reduce drift and keep distributed teams aligned.
- Schema governance patterns
- Backwards compatibility planning
- Validation at ingest boundaries
Approach
The delivery model is built for technical and semi-technical stakeholders who need clear tradeoffs and reliable outcomes.
- Reliability and correctness come first when systems impact real decisions.
- Deterministic constraints are applied around probabilistic models to keep behavior bounded.
- Event-driven design is used when timing, ordering, and observability need explicit control.
- Replayability is prioritized where auditability or incident reconstruction is important.
- Delivery is measured with scope, milestones, and clear acceptance criteria.
About
Parallax Beacon LLC is a consultancy and product studio focused on practical AI and systems architecture. Work spans early-stage startups and enterprise environments, with solutions tailored to each client’s operating context and constraints.
The background behind Parallax Beacon combines journalism and systems product management, bringing both communication clarity and implementation rigor to engagements. Austin, Texas (US Central) · Remote.
Contact
Tell me what you’re building. I’ll reply within 1-2 business days.
Prefer scheduling? Book a consult.