REAL-WORLD AI · EVIDENCE OVER HYPE
Not a feature catalogue and not a press-release recap. Each case is analyzed as a system: problem → automation → integrations → human role → result → risks → how to repeat it.
Real workflow, metrics, and automation boundaries
Kodif uses Claude on Amazon Bedrock not as an FAQ bot but as the core of AI agents that understand requests, work with a knowledge base, execute refunds and cancellations through connected tools, and turn support data into business signals.
SERIES
Real business cases, agents, and automations built with ChatGPT and the OpenAI ecosystem: workflow design, what is automated, measured results, boundaries, and risks.
How loveholidays opened Codex to non-engineer builders
Practical Claude and Claude-powered system cases: business task, automation architecture, integrations, autonomy, results, limitations, and repeatability.
How Triple Whale builds commerce analytics agents: the Claude case and multi-model Moby 2
NEW BREAKDOWNS
A practical Triple Whale case study: Anthropic documents Claude as a key model in the earlier agent architecture, while the current Moby 2 uses multi-model orchestration with Claude, ChatGPT, and Gemini; covering triggers, workflow, MCP, A4 autonomy, controls, evaluations, cost, and the limits of first-party metrics.
A practical Advolve case study: Claude acts as the central orchestrator for multi-platform ad operations, creative generation, validation, and optimization, while budgets, policies, and high-impact changes remain inside controlled boundaries.
A practical NEC + Anthropic case study on turning consumer purchase data into product-planning and promotion proposals through a statistical analysis layer and Claude, with A3 autonomy, provenance, human-owned decisions, evaluations, failure handling, and a full cost model.
An evidence-heavy loveholidays + OpenAI case study on product, design, and commercial teams creating software changes with Codex while platform engineering encodes rules, validations, review, and release boundaries.
A production Warp case: Claude-based agents and Skills use feedback loops for PR review, issue triage, and community workflows, with versioned skill updates, evals, human correction, and guarded promotion.
A production AIG case: Claude supports insurance underwriting, data extraction, and decision support with human-owned risk decisions, auditability, evidence controls, deterministic policy gates, and staged rollout.
SERIES PRINCIPLE