ai · agents · models — vol. 04 · open
ai work that
does the job.
agents that follow through, models tuned on real payloads, integrations that hug the operational graph.
capability matrix
eight pragmatic muscles — autonomy where it earns trust, humans where it doesn’t.
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agents
planners & tool routing
decomposition, retries, and budgets — observable arcs with humane fallbacks when tools misfire.
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grounding
rag & structured context
corpuses, metrics, and schemas — hallucinations taxed, citations rewarded, silence preferred to invention.
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quality
eval harnesses
tiny scoring suites and golden sets so model and prompt upgrades don’t regress trust in the dark.
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modalities
voice & multimodal edges
streaming transcripts, tool calls mid-utterance, and graceful handoff to typed ui when precision matters.
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human loop
review & escalation
queues that land in ticketing, inboxes, or admin surfaces — autonomy never orphaned from ownership.
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batch
enrichment pipelines
nightly jobs, backfills, and re-embed passes that retry cleanly and report partials honestly.
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routing
model failover
provider routing, caching, and circuit breakers — cost and latency knobs without surprise downtime.
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privacy
redaction & policy
pii gates, retention windows, and allowlists — prompts and logs treated as sensitive surfaces.
case examples
patterns from composer-style fleets plus coordinator scaffolding we dogfood internally.
agent flow
pure-css schematic — how work moves from prompt to verified output.
executors stay narrow; the planner owns retries; output is always review-shaped, not oracle-shaped.
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