Blog24 min read
Document AI Vendor Testing: An 80/20 Edge-Case Template
Vendor demos use clean samples. Test with 80% standard and 20% problem documents: skewed scans, handwriting, multi-page tables, scored field by field.
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Blog
Notes from the build.
Field notes on shipping AI-native systems with human engineering judgement: architecture, modernisation, automation, and the tradeoffs in between.
Blog14 min read
OCR vs LLM Document Processing: Which Fits Which Document
OCR is fast and cheap on fixed layouts like forms and IDs. LLMs handle contracts, handwriting and variable structure. When to use each, or run both.
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Blog19 min read
RAG Production Checklist: 12 Gates Before You Deploy
Twelve checks before RAG goes live: chunking on real documents, Precision@5, 95%+ citation accuracy, and p95 retrieval under 150ms.
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Blog15 min read
On-Device SLMs: Why Benchmarks Miss Real Phone Performance
Published SLM benchmarks skip what breaks apps: runtime memory above the stated model size, thermal throttling under sustained load, and cold-start delay.
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Blog18 min read
How to Identify Which AI Features in Your Product Can Be Served by an SLM Without Degrading UX
Learn how to audit AI features to move predictable, high-volume tasks to small language models without harming UX.
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Blog17 min read
The GPT-4 to SLM Migration Decision: When Smaller Models Are Good Enough and When They Will Cost You
Match models to tasks to cut AI costs-use SLMs for structured, high-volume work and reserve GPT‑4 for complex or multilingual cases.
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Blog18 min read
Why Enterprise Clients Are Now Asking for SLM Options Before Signing Off on Any AI Feature
Enterprises require SLMs for data sovereignty, compliance, security, and cost savings; vendors must offer self-hosted, VPC, or on‑prem options.
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Blog23 min read
Self-Hosted SLMs for Regulated Industries: Architecture, Cost, and Compliance Trade-offs We’ve Navigated
Architecture, cost, quantization, and compliance trade-offs for self-hosting language models in regulated industries.
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Blog12 min read
Phi-4 vs Gemma 3 vs Mistral Small: A Practical Benchmark for the Enterprise Use Cases That Actually Matter
Pick the right enterprise LLM by matching precision, context length, and throughput to your workflow.
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Blog15 min read
How to Stress Test an Agent Framework Before You’re Too Deep to Switch
Stress-test agent frameworks early: add observability, reproducible tests, run five critical stress tests, and know when to switch.
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Blog20 min read
Multi-Agent Orchestration: 90% Accuracy Means 35% Success
Why multi-agent demos break in production: compounded errors, deadlocks, context loss and token bloat, plus the checkpointing and tracing that fix them.
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Blog16 min read
Agent Memory Architecture: Why Your Design Decision at Week One Determines Your Ceiling at Scale
How week-one memory choices set an AI agent’s scalability; compare in-context, vector, episodic, semantic memories and tiered designs.
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