Agentic Engineering
Deep technical — prompt design, eval harnesses, tool calling, multi-step reasoning, production trade-offs.
Field reports from agentic projects, opinions on the AI/Ops stack, and tactical guides you can copy on Monday.
Deep technical — prompt design, eval harnesses, tool calling, multi-step reasoning, production trade-offs.
RevOps · FinOps · HROps · ITOps · MarOps. Horizontal plays that don't respect org charts.
Production-grade recipes, connector design notes, task-budget patterns, error semantics.
Evals, observability, policy controls, human-in-the-loop hooks — keeping agents audit-ready in production.
Written for CTO/CIO readers — vendor selection, agentic roadmap, ROI framing, procurement-grade claims.
Engineering culture, hiring bar, post-mortems and retros — what we're learning as we ship.
AI-agent guardrails are operating controls for access, decisions, actions, validation, escalation, and oversight. Learn how organizations can match agent autonomy to business risk—and how Solomon Forge can make those controls more visible across the agent ecosystem.
Read postSolomon Forge is an AI Workforce Operating System for creating, governing, measuring, and improving coordinated teams of enterprise AI agents.
Read postA side-by-side look at architecture, security, pricing and AI readiness for teams choosing between Workato and MuleSoft as their iPaaS.
Read postAI doesn't thrive in restrictive silos or brittle integrations — it needs clean data, seamless automation, and context. Here's how orchestration sets the foundation.
Read postWe built an AI-driven assistant — powered by OpenAI and Workato — to help Workato Automate 2024 attendees navigate sessions, venue, restaurants and FAQs.
Read postHow ComposableAI with Workato, OpenAI and Monday.com turns a marketing idea into a Marketo draft email in 16 seconds.
Read postWalking the AI Triangle risk gradient — from EmbeddedAI to ComposableAI — and what each level demands of your security, ethics and DevOps posture.
Read post