Library · highest traffic in the system
Three vehicles, split by decay rate.
Not by topic. What a thing is worth depends on how fast it rots. Fast-decaying facts are never a document. Recommendations carry strength and evidence tier as separate fields. Positions are long-form, argued and signed.
- Recommendations
- 12
- Standing answers
- 8
- Positions
- 4
shelf-life · versioned, owned, strength and tier separate
- DorecommendationTested
Prompt caching: use for stable prefixes over 2k tokens; expect 30–45%, not 60%
Cache when the shared prefix is over ~2k tokens and reused inside the provider's TTL. Budget on 30–45% input-cost reduction across a real pattern; the 60% figure is a best-case single call.
StrengthmoderateCitations61Half-life90dvalidated 28 Aug 202684d leftPRPriya RamanCost redux on tokens - DorecommendationTested
Open-weight models for classification and extraction; frontier for agentic loops
Default classification and structured extraction to an open-weight 30B-class model behind the gateway. Keep multi-step agentic loops on frontier until the open-weight tool-use gap closes.
StrengthmoderateCitations47Half-life90dvalidated 27 Aug 202683d leftPRPriya RamanOpen Weight Models - DorecommendationTested
Use a structured episodic store with summarised recall, not a raw vector memory
For any agent with more than ten sessions of history, store episodes with summaries and recall the summary first. Raw vector recall over transcripts loses on precision and latency above ~50k tokens.
StrengthstrongCitations41Half-life120dvalidated 21 Aug 2026107d leftTOTom OkaforAgentic Memory System - Don'trecommendationTested
Measure ROI from telemetry and cycle time, not surveys
Do not report AI productivity gains from self-reported surveys. Instrument the workflow and measure cycle time, throughput and rework before and after.
StrengthmoderateCitations38Half-life120dvalidated 19 Aug 2026105d leftJPJun ParkROI - DorecommendationTested
Route through a gateway you control; do not standardise on a vendor's
Every client pattern goes through a gateway the delivery team owns the config for. Vendor gateways are fine as a backend, never as the routing policy.
StrengthstrongCitations33Half-life150dvalidated 14 Aug 2026130d leftPRPriya RamanAI Gateway - Don'trecommendationTested
Every LLM judge ships with a human agreement score or does not ship
Do not report an eval number produced by an LLM judge unless the judge has a published agreement rate against a human panel on the same task. Below 0.8 Cohen's kappa the judge is not a measurement.
StrengthstrongCitations29Half-life120dvalidated 10 Aug 202696d leftMTMei TanakaEval Harnesses - Don'trecommendationTested
Agents act under delegated, scoped, expiring authority — never a service account
Do not give an agent a long-lived service account. Every tool call runs under authority delegated from a named person, scoped to the task, and expiring with it.
StrengthstrongCitations26Half-life180dvalidated 7 Aug 2026153d leftLFLena FischerAuth Broker - DorecommendationTested
Agentic delivery works when the spec is the artifact; do not start with the code
The reviewable, versioned artefact in an agentic delivery is the specification and its acceptance tests. Code is generated output. Teams that review code first lose the throughput gain to review time.
StrengthmoderateCitations22Half-life120dvalidated 18 Aug 2026104d leftSKSam KowalczykAI-SDLC - Not yetrecommendationTested
Not yet: realtime voice for AU contact centres above tier-1 triage
Do not commit a client to realtime voice agents beyond tier-1 triage and routing. The latency floor from Sydney is not there, and the cost of a public failure in a regulated contact centre is high.
StrengthstrongCitations18Half-life90dvalidated 31 Jul 202656d leftTOTom OkaforVoice and Vision - DorecommendationTested
Put backpressure on agent fan-out before you put it on the model
Bound the number of in-flight sub-agents and tool calls at the orchestrator with a queue that applies backpressure. Model-side rate limits are the wrong place to discover you have a fan-out problem.
StrengthstrongCitations15Half-life150dvalidated 25 Aug 2026141d leftTOTom OkaforBackpressure - DorecommendationAssessed
Give citizen developers a paved road and a retention policy, not a review board
Review boards do not stop org slop; they slow the people who would have done it well. A paved road with a default retention window keeps the volume survivable.
StrengthweakCitations9Half-life120dvalidated 16 Apr 202620d overdueSKSam KowalczykCitizen Developers and Org Slop - DorecommendationTested
Distil to a small model only after the frontier baseline is measured on the same eval
Superseded by r-open-weight-tier. Before fine-tuning or distilling any small model, run the frontier model on the same eval and record the gap you are trying to close.
StrengthmoderateCitations12Half-life120dsuperseded16d leftPRPriya RamanSLM / Edge / Tuning