Model context protocol

One Day, $1,000 in Tokens: An AI War Room for Legacy Code — Ford Prior, GEICO

One Day, $1,000 in Tokens: An AI War Room for Legacy Code — Ford Prior, GEICO

Ford Prior, a senior staff engineer and tech evangelist in GEICO's claims technology group, describes an AI-native multiplayer war room built to unblock major, outer-loop software changes. The talk covers a one-day, $1,000 token experiment across rentals, damages, and salvage legacy domains, the FleetKit markdown rulebook that steers the agent fleet, the worksheets and design artifacts it produced, and the cost, model-selection, and tooling lessons that shape what comes next.

A Bank Built Its Own Coding Agent. It Took Off — Felipe Felisola Caso & Francesco Galletta, Monzo

A Bank Built Its Own Coding Agent. It Took Off — Felipe Felisola Caso & Francesco Galletta, Monzo

Felipe Felisola Caso and Francesco Galletta from Monzo explain how an internal Slack agent grew from a viral emoji trigger into a teammate authoring over 10% of merged PRs and running more than 1,800 tasks a day. They attribute its speed to existing platform capabilities, an MCP gateway, a sandboxed orchestration system suited to a regulated bank, and an agent designed as a composable building block for incidents, on-call data quality and non-engineer contributions.

What Is Loop Engineering? Building Better AI Agents

What Is Loop Engineering? Building Better AI Agents

Martin Keen explains loop engineering as the next step beyond prompt engineering: designing systems where AI agents act, observe, adjust, and repeat toward verifiable goals. The discussion covers goal design, triggers, context and persistent state, tools via MCP and APIs, verifier subagents, and why humans must remain in the loop to manage comprehension debt, intent debt, and cognitive surrender.

Memory-Aware Agent Harnesses for Anti-Money Laundering — Nacho Martinez, Oracle

Memory-Aware Agent Harnesses for Anti-Money Laundering — Nacho Martinez, Oracle

Nacho Martinez argues that the model is fixed while the harness (agent loop, memory, context engineering, tools and skills, continual learning) is where engineers can make real gains. He walks through the agent stack and applies it to an autonomous AML agent that flags suspicious bank transactions, then demonstrates the workshop environment and answers questions on memory design, skill retrieval, caching, and hybrid search.

Paving the Road to Production: Governed Enterprise AI Agents — Harish Gaggar, Credit Karma

Paving the Road to Production: Governed Enterprise AI Agents — Harish Gaggar, Credit Karma

Harish Gaggar of Intuit Credit Karma walks through an internal paved path for taking enterprise AI agents from experiments to production. The talk covers portal-based registration and provisioning, a centralized authenticated MCP gateway with custom reviewed MCP servers, gateway monitoring with OpenTelemetry, Tempo, Prometheus, and Grafana, LangGraph workflows with policy checks and human approval, durable memory through threads and checkpoints, agent tracking and evaluation records, PII filtering, and context optimization for token reduction.

Build a Research Agent with Claude Managed Agents (Part 2 of 4) — Anthropic

Build a Research Agent with Claude Managed Agents (Part 2 of 4) — Anthropic

A hands-on walkthrough of Claude Managed Agents, building a research desk for SEC filing analysis with a chat UI on the session event stream, skills, subagents, custom tools, shared memory, rubric-graded outcomes and vault-based credential injection.