Where to place the trust boundaries for shared agent memory
Persistent memory can carry influence across agent runs. An SGL decision map separates storage, provenance, retrieval, authority, and recovery so one session boundary does not bear the entire security model.
Super Genius Labs Editorial · Aug 16, 2026 · 5 min readSelf-healing agent infrastructure needs a permission ladder, not an autonomy switch
A proposed permission ladder separates observation, diagnosis, approval, remediation, verification, and reversal so incident automation can gain authority one bounded action at a time.
Super Genius Labs Editorial · Aug 15, 2026 · 4 min readAn admission gate for third-party agent skills
Third-party agent skills can combine runtime instructions with executable scripts. A bounded admission process can verify provenance, content, permissions, isolation, updates, and revocation before granting access.
Super Genius Labs Editorial · Aug 14, 2026 · 5 min readWhat evidence should healthcare AI operators retain for non-device software?
FDA’s patient-safety inquiry gives healthcare AI operators a bounded prompt. Preserve intended use, observed benefits, safety signals, implementation lessons, governance practices, and evidence ownership without treating an operational record as a legal classification or proof of safety.
Super Genius Labs Editorial · Aug 13, 2026 · 4 min readA workflow-level benchmark for agent infrastructure
A workflow-level benchmark can expose host work, boundary crossings, tool spikes, queueing, and idle-capacity overlap that token throughput alone does not describe.
Super Genius Labs Editorial · Aug 12, 2026 · 4 min readRead Cortex AI Gateway as an announced control plane, not a verified operating result
Snowflake has announced one control layer for agent access, activity records, interoperability, and AI spending. Preview status leaves its behavior, coverage, and enforcement open to operator verification.
Super Genius Labs Editorial · Aug 11, 2026 · 3 min readTest the effective policy of every coding-agent surface
Turn shared coding-agent settings into surface-specific acceptance tests for policy source, precedence, refresh behavior, denial outcomes, and retained evidence.
Super Genius Labs Editorial · Aug 10, 2026 · 5 min readA model score is sometimes a system score. An attribution sheet for multi-model agents
A named model may sit inside a routed, multi-agent harness. Record the models, routing, tools, benchmark configuration, access tier, and evidence owner behind the score.
Super Genius Labs Editorial · Aug 8, 2026 · 3 min readAI disclosure should survive the interaction
A footer or opening message can leave channel transitions, handoffs, or generated-media paths untested. Model disclosure as owned product states with reviewable regression evidence.
Super Genius Labs Editorial · Aug 7, 2026 · 5 min readOpus 5 effort belongs in the release configuration
Version model ID, thinking state, effort, output budget, endpoint, and fallback policy together, then evaluate that tuple across quality, completion, latency, turns, and cost.
Super Genius Labs Editorial · Aug 6, 2026 · 5 min read