Quellix Insights

AI Field Notes for Real Business Workflows

Readable guides on building, evaluating, and shipping AI systems that survive real tools, approvals, risks, and handoffs.

Every article is written as an implementation note: what changes in the workflow, where human approval belongs, what can break, and which service path gives the buyer a realistic next step.

AI Agent Boundaries Need More Than Prompt Rules

2026-10-27

AI Agent Boundaries Need More Than Prompt Rules

Recent agent evaluations show why prompts and turn-based checks can miss risky actions-and what runtime gates, isolation, and logs change.

Open Agent Standards Put Portability on the Build Plan

2026-10-26

Open Agent Standards Put Portability on the Build Plan

Anthropic and OpenAI contributions may improve agent portability, but buyers still need workflow-level controls for approvals, tools, and fallbacks.

An illustrative decision ledger stands beside forecast evidence sheets and restrained blue planning signals.

2026-10-11

Claude Sonnet 5.5 and the Forecast Review Workflow

Sonnet 5.5 offers a new forecast-review candidate. Test evidence, historical context, and planner approval separately from forecast accuracy.

A single authorized path crosses a transparent access boundary toward a draft tray, with three evidence trays behind it.

2026-10-11

Gemini Agent: The Controls Your Integrations Still Need

Google introduced Gemini Agent on October 8. Here is how to scope evidence access, business writes, approvals, and recovery in a practical integration.

A tactile routing board sends most blank case cards along a compact rail and diverts an exception into a separate slate review tray.

2026-10-11

Claude Haiku 5.5: Route Work Before Switching Models

Haiku 5.5 gives teams a new small-model candidate. Evaluate routing, migration, escalation, and cost per accepted outcome before switching.

A blue routing node connects a stack of support records to separate response and escalation paths.

2026-10-06

AI Support Agents: Triage, Actions, and Escalation

Enterprise AI agents can triage support, retrieve approved answers, update CRM records, and escalate risky cases with human oversight.

Company knowledge folders connect to separate search results through an access-control boundary.

2026-10-06

RAG for Employee Support Without Permission Leaks

A permission-aware support workflow that retrieves approved HR, IT, and operations answers while keeping risky cases human-led.

An invoice flows into structured field records and a separate validation and review view.

2026-10-06

Invoices to Decisions: A Reliable AI Workflow

Turn invoices and business documents into governed decisions with OCR, NLP, validation, approvals, and measurable operating controls.

Incoming task cards beside separate trays for routine work and complex case files, ending at a review card

2026-09-23

GPT-6 Sol and Luna: Lower API Prices, Better Model Routing

GPT-6 Sol halves GPT-5.6 Sol token rates. Luna cuts input rates in half and output by about 58%. We examine where each model fits in production work.

Engineering source folder, reusable context cards, and a reviewed completion packet on a work desk

2026-09-23

Claude Opus 5.5: What Its Lower API Price Changes

Opus 5.5 cuts standard input and output rates by 20% and cache reads by 60%. Here is how to measure the actual saving in long-running AI work.

Enterprise AI Safeguards Change the Build Decision

2026-09-13

Enterprise AI Safeguards Change the Build Decision

Anthropic's new enterprise safeguards change how buyers evaluate sensitive AI workflows, approvals, storage, and production accountability.

RAG Use Cases: Where Enterprise Retrieval Pays

2026-09-07

RAG Use Cases: Where Enterprise Retrieval Pays

See which RAG workflows justify a build, from permission-aware support and contracts to field service and sales retrieval.