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Focused Labs social card for Salesforce MCP Turns CRM Integration Into an Agent Runtime Problem

Salesforce MCP Turns CRM Integration Into an Agent Runtime Problem

Salesforce MCP changes CRM integration from UI automation into runtime-owned identity, approvals, retries, idempotency, and trace work.
Blog
AI Agent Accuracy Is an Observability Problem

AI Agent Accuracy Is an Observability Problem

AI agent accuracy should be managed as observable production evidence: traces, evals, side-effect receipts, and release gates, not one average score.
Blog

The Agent Harness Is the New Lock-In Layer

The agent harness is becoming the real lock-in layer for enterprise AI because routing, traces, evals, memory, policy, and credentials live above the model.
Blog
Blog card for Agent Rubrics Turn Evaluation Into Runtime QA

Agent Rubrics Turn Evaluation Into Runtime QA

Agent rubrics move evaluation from offline scoring into runtime QA with verifier loops, criteria ownership, and observable verdicts.
Blog
Focused Labs social card for AI Agent Evaluation Steers the Harness

AI Agent Evaluation Steers the Harness

Agent evaluation should steer harness changes, turning production traces into release gates, regression tests, and concrete edits around the model.
Blog
Focused Labs blog card for Agent Skills Are a Software Supply Chain Surface

Agent Skills Are a Software Supply Chain Surface

Agent skills are becoming executable supply-chain artifacts. Govern them with provenance, permissions, sandbox policies, eval gates, trace evidence, and rollback.
Blog

LangChain Interrupt Moved into the Runtime

Takeaways from LangChain Interrupt: the conversation moved from model worship to runtime, with LangSmith Engine, SmithDB, Deep Agents v0.6, Managed Deep Agents, and LLM Gateway pushing agents into real software systems.
LangChain
Focused Labs blog card for Agent Monitoring Is an Infrastructure Workload

Agent Monitoring Is an Infrastructure Workload

Agent monitoring has become production infrastructure: traces must carry state, side effects, cost, ownership, checkpoints, rollback context, and SRE evidence.
Blog
Focused Labs social card for Agentic Payments Move Spending Authority Into the Runtime

Agentic Payments Move Spending Authority Into the Runtime

Agentic payments are a runtime policy problem before they are a wallet integration problem.
Blog
Blog card for Agent UI Is Runtime Infrastructure

Agent UI Is Runtime Infrastructure

Token streaming makes an agent look alive. Typed event streams make agent products usable, inspectable, recoverable, and safe enough to run inside real workflows.
Blog
Focused Labs blog card for Agent Failures Should Open Tickets

Agent Failures Should Open Tickets

Recurring AI agent workflow failures should become named issues with linked traces, owners, regression evals, and release evidence.
Blog
Focused Labs social card for Agent Traces Need to Cross the MCP Boundary

Agent Traces Need to Cross the MCP Boundary

Agent observability breaks when traces stop at the MCP tool boundary. Pass W3C trace context through MCP to connect planner, tool, and service spans.
Blog
Agentic AI Implementation Runs Through Change Control social card

Agentic AI Implementation Runs Through Change Control

Enterprise agent rollouts need a change-control spine: workflow ownership, permission envelopes, eval evidence, trace samples, and rollback paths.
Blog
AI Agent Orchestration Needs Receipts social card

AI Agent Orchestration Needs Receipts

Agent orchestration needs a side-effect ledger that records operation keys, receipts, retries, compensation, and ownership before mutating tools touch production systems.
Blog
Blog card for Agent Benchmark Scores Are Measuring the Harness, Not the Model

Agent Benchmark Scores Are Measuring the Harness, Not the Model

Agent benchmarks do not just measure model capability. They measure the harness, runtime limits, tools, retries, and observability wrapped around the model.
Blog
Blog card for AI Agent Authentication Starts With Workload Identity

AI Agent Authentication Starts With Workload Identity

AI agent authentication starts with workload identity, scoped credentials, and runtime-owned delegation so tool calls have authority, audit evidence, and expiration.
Blog

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