# Intelligence & learning

Author: Murali Sid (https://linkedin.com/in/muralisid)
Source: https://www.agenticarchitectureskills.com/library/layers/r06-intelligence-and-learning
Published: 2026-09-18
Updated: 2026-09-18
Licence: CC BY-SA 4.0, https://creativecommons.org/licenses/by-sa/4.0/
Cite as: Murali Sid. Intelligence & learning. Agentic Architecture Skills. https://www.agenticarchitectureskills.com/library/layers/r06-intelligence-and-learning

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Status: complete (published 2026-08-19). Scope finalized at Batch C kickoff with maintainer POV; see findings.md and sources.md.

## Scope inventory (v0) [#scope-inventory-v0]

* **Estate**: BI and dashboards, notebooks and data science platforms, feature stores, model registries, MLOps
* **Agent-era**: conversational analytics over metrics layers, LLMOps/AgentOps, eval infrastructure (golden datasets, LLM-as-judge, human review queues, regression gates), trace-to-dataset curation
* **Improvement machinery**: fine-tuning and distillation pipelines, A/B and canary rollout for agent changes, experiment tracking, classical ML (classifiers, topic models, forecasting) as the deterministic muscle next to LLMs
* **Risk**: model risk management alignment for regulated environments

## Challenged-default candidates [#challenged-default-candidates]

LLM-first analytics vs metrics-layer grounding; buying eval platforms vs building on open tooling. Each track proposes its final list at kickoff.

## Files [#files]

`findings.md` and `sources.md` carry this track's research. The scoping brief and the vendor map were archived on 2026-08-23 (see `archive/`, decision D038).