Decision Maps
Interactive blueprints for the choices that actually decide a system — ordered by leverage, with the tradeoffs and contradictions surfaced as you map your own architecture.
Four Observability Platforms, 18 Months, One Decision
Every enterprise eventually runs Grafana, Datadog, Splunk, and Dynatrace at once — and someone gets 18 months to fix it. This interactive decision board skips the vendor bake-off and builds the framework: 23 decisions across five tiers. Frame the core path (consolidate, federate via OpenTelemetry, or leave it alone) plus the trigger and the owner; inventory what each platform uniquely owns (billing data vs. dashboards vs. compliance retention vs. APM depth); score the real switching costs (agent re-instrumentation, query-language retraining, alert-rule migration, contract lock-in); make the decision defensible with a cost model a CFO accepts and the test for when federation beats consolidation — and when 'leave it' is the honest answer because migration risk exceeds the savings; then sequence the 18 months. Pick your path in Tier 1 and the board pre-selects downstream defaults with the reasoning attached, flags contradictions live, and compiles an exportable spec. The thesis: infra consolidation fails on ambiguous ownership, not math — and the anti-pattern that kills most of them is migrating dashboards before trust.
The Agentic System Design Map
An interactive blueprint board for designing a production AI agent — 34 architectural decisions grouped into five leverage tiers and ordered by blast radius, not lifecycle. Map your Tier 1 framing (agent vs. workflow, autonomy ceiling and reversibility, success criteria, failure-mode severity) and the board cascades common downstream defaults across architecture, capability, production, and sustaining — each with the reasoning attached and live diagnostics when your choices contradict each other. Spectrums are mutually exclusive; stackable capabilities combine. Compile an exportable spec manifest of the architecture you draft. The thesis: the highest-leverage decision in the set is autonomy-and-reversibility, and nearly every expensive agent failure is an early-tier decision made late.
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