#AI Engineering#AI Gateway
AI Gateways: Stop LLM Outages & 429 Limits in SaaS MVPs
Eliminate catastrophic LLM outages and 429 rate limit crashes. Learn how to architect a resilient, token-aware AI Gateway for your SaaS MVP.
11 min readRead Guide
AI Engineering Hub
AI Engineering & Deterministic Systems
Deterministic AI Agents, CI/CD Evals & Vector Retrieval
Move beyond vibes-based prompt engineering. Build predictable multi-agent loops, automated regression eval suites, and token-efficient AI workflows.
5 Technical Articles
~45 Min Total Reading Time
Founder Blueprint Preset Ready
In-Depth Architecture Guides
Practical, code-backed engineering teardowns for ai engineering & deterministic systems.
#AI Engineering#Multi-Tenant RAG
Multi-Tenant RAG: How to Stop Cross-Tenant Vector Data Leaks in Enterprise SaaS
Eliminate cross-tenant vector data leaks in enterprise AI SaaS. Learn deterministic RAG isolation patterns using pgvector RLS, metadata pre-filtering, and strict namespaces.
9 min readRead Guide
#LLM Evals#AI Engineering
Automated LLM Evals: CI/CD Guardrails for AI MVPs
Eliminate vibes-based prompt engineering. Learn how to install deterministic CI/CD LLM evaluation harnesses to prevent silent regressions and protect margins.
11 min readRead Guide
#Startup Economics#AI API Burn Rate
Slash AI API Costs by 80% in SaaS MVPs: The Architectural Guide
Learn how to slash your AI SaaS API burn rate by 80% using prompt caching, semantic vector cache layers, and deterministic model routing cascades.
7 min readRead Guide
#AI Engineering#Deterministic AI
Why AI Agents Fail: Replacing Brittle Prompt Chaining with Deterministic State Machines
Discover why naive prompt chains crash in production and how deterministic state machines provide reliable, cost-controlled AI MVP architecture for founders.
7 min readRead Guide
Architectural Standards
The AI Engineering & Deterministic Systems Engineering Rules
Non-negotiable architectural practices we implement across founder codebases to prevent premature rewrites and ensure investor-grade quality.
1
Replace Vibes with Deterministic Evals
Never push prompt modifications or model routing changes to production without automated CI/CD evaluation suites testing schema fidelity and regression metrics.
2
Finite State Machines Over Open-Ended Agents
Constrain multi-agent autonomy using strict state machine transitions, validating JSON outputs deterministically before triggering business actions.
3
Aggressive Context & Prompt Caching
Structure system instructions and static RAG context to leverage provider prompt caching, cutting API latency and recurring token costs by up to 80%.
4
Decouple Generation from Business Logic
Treat LLM calls as probabilistic text generators and isolate parsing, data transformation, and database mutations within deterministic TypeScript modules.
Core Topics: Automated CI/CD LLM Evaluations · Deterministic Multi-Agent State Machines · Vector Search & Hybrid Retrieval (RAG) · Structured Output Schema Validation · Prompt Caching & Token Cost Reduction · Semantic Guardrails & Hallucination Prevention
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