You will be able to
- Place guardrails on inputs and outputs, each with a policy for what happens when it fires.
- Keep private data from leaving your systems with masking and a reverse map, and know its limits.
- Choose an output-guardrail threshold by counting both missed harm and false refusals.
- Weigh guardrails against latency and streaming, and decide where they run.
- Ship AI changes behind feature flags, with kill switches operators can use without a deploy.
- Limit a bad change's reach with shadow deployments and canaries compared against a control.
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AI Engineering · Chip Huyen, 2025
Chip Huyen. O'Reilly. Used: Ch. 10 "AI Engineering Architecture and User Feedback": "Step 2. Put in Guardrails" > "Input guardrails", "Output guardrails", "Guardrail implementation". Ch. 3 "Evaluation Methodology": "Ranking Models with Comparative Evaluation".
Feature Toggles (aka Feature Flags) · Pete Hodgson (martinfowler.com), 2017
Pete Hodgson (martinfowler.com). Used: Categories of toggles; Ops Toggles; Managing the carrying cost of toggles (fetched 2026-10-23). Open source
The Site Reliability Workbook · Betsy Beyer et al., 2018
Betsy Beyer, Niall Richard Murphy, David K. Rensin, Kent Kawahara & Stephen Thorne (eds.). O'Reilly. Used: Ch. 16 "Canarying Releases" (fetched 2026-10-23). Open source