# Browse by what you're solving.

Source: https://customlabs.io/topics/
Updated: 2026-09-14

Topics

# Browse by what you're solving.

Every guide, architecture, comparison, insight, case study, pattern, failure mode and tool, grouped by the problem it addresses (retrieval, cost, evals, production, strategy, and security) instead of scattered by kind.

## Retrieval & RAG

[Retrieval-augmented generation](https://customlabs.io/glossary/retrieval-augmented-generation/) looks simple in a demo and breaks on real corpora — messy PDFs, thin chunking, and stale [embeddings](https://customlabs.io/glossary/embeddings/) all masquerade as model problems. This is our work on making retrieval actually hold up in production.

13 items

[Browse →](https://customlabs.io/topics/retrieval-rag/)

## AI Cost & Efficiency

[Inference cost](https://customlabs.io/glossary/inference-cost/) rarely matches the per-token sticker price once retries and context growth are counted. Fallback calls push it further. This is our work on modeling real AI spend and the build-vs-buy calls that keep it in check.

13 items

[Browse →](https://customlabs.io/topics/ai-cost-efficiency/)

## Evals & Observability

Shipping an AI feature without an [eval suite](https://customlabs.io/glossary/eval-suite/) means every prompt or model change is a guess about whether quality went up or down. This is our work on evals and the [observability](https://customlabs.io/glossary/observability/) that catches regressions after ship. Both belong in CI.

9 items

[Browse →](https://customlabs.io/topics/evals-observability/)

## Shipping to Production

The gap between a working notebook and a system that runs reliably and cheaply at scale is usually a bigger lift than the original prototype. This is our work on closing that gap.

28 items

[Browse →](https://customlabs.io/topics/shipping-to-production/)

## Strategy & Architecture

Build, buy, or skip; lock into one model provider or stay agnostic — these architectural calls compound over the life of a system. This is our work on making them deliberately instead of by default.

14 items

[Browse →](https://customlabs.io/topics/strategy-architecture/)

## Security & Governance

Getting an AI feature past InfoSec and procurement is where most mid-market and enterprise projects actually stall, not in the model. Privacy and risk review are the other two gates. This is our work on the threat models and evidence that get a review past 'no.'

8 items

[Browse →](https://customlabs.io/topics/ai-security-governance/)