Blog
Buyer-intent articles on AI agents, data pipelines, automation, reporting, and platform operations for teams moving from scope to production.
Building AI agents with Model Context Protocol (MCP): A Practical Guide for Production Teams
Building AI agents with Model Context Protocol (MCP) means designing an agent that can connect to external tools, services, and data sources through a standard protocol.
Customer onboarding journey for B2B SaaS Framework
Customer onboarding journey for B2B SaaS examples Customer onboarding journey for B2B SaaS framework Customer onboarding journey for B2B SaaS workflow Customer onboarding journey for B2B SaaS best practices how to use Customer onboarding journey for B2B SaaS what is Customer...
AI Agent Incident Response Playbook: A Practical Guide for Production Teams
An AI agent incident response playbook is an operating guide for handling failures in agent workflows. It defines how teams detect incidents, classify severity, contain unsafe behavior, escalate to humans, review logs, fix root causes, and improve the agent before returning...
GPT 5.5 vs Claude Opus 4.7: practical comparison for production teams
Teams comparing GPT 5.5 vs Claude Opus 4.7 should start with the workflow, not the model name. A useful comparison tests both models against real tasks, scores the outputs, tracks review effort, and identifies where guardrails or human escalation are required before...
ReAct agent: a practical guide for production teams
Internal Links: AI agent development Agentic BI and reporting Autonomous research agent case study AI agents with human review AI agent ops playbook External Links: Original ReAct paper Google Research ReAct overview OpenAI function calling documentation OpenTelemetry GenAI...
GPT-5.4 vs Claude Opus 4.7: Which Model for Production AI Agents?
Neither GPT-5.4 nor Claude Opus 4.7 wins in every situation. The production decision is not which model to pick -- it's which tasks go where.
Need more than ideas?
Turn the reading list into a scoped delivery conversation.
If one of these articles maps directly to your current workflow pressure, the next useful step is usually a review of the system, constraints, and next build decision.