AI & Automation
AI adoption resistance: why employees won’t use AI tools (and what to do instead)
AI adoption resistance: why employees won’t use AI tools (and what to do instead).
Blog
Opinions, insights, and dispatches on AI agents, automation, and building the future.
AI & Automation
HubSpot Salesforce integration issues: how to stop sync errors, loops, and broken automations
HubSpot Salesforce integration issues: how to stop sync errors, loops, and broken automations.
AI & Automation
Improve RAG performance: how to fix RAG retrieval accuracy when it pulls the wrong docs
Improve RAG performance: how to fix RAG retrieval accuracy when it pulls the wrong docs.
AI & Automation
LLM API cost overruns: how to prevent an unexpected OpenAI bill
LLM API cost overruns: how to prevent an unexpected OpenAI bill.
AI & Automation
AI agent maintenance: why your agents break in 90 days (and how to prevent it)
AI agent maintenance: why your agents break in 90 days (and how to prevent it).
AI & Automation
Why Most AI Agents Fail (And What Engineering Teams Do About It)
Most AI agents fail in production due to vague success criteria, messy inputs, weak guardrails, and no observability. Here’s what to do instead.
AI & Automation
Model Context Protocol enterprise: what MCP changes
Model Context Protocol (MCP) standardizes how AI systems connect to tools and data. Here’s how to pilot MCP without creating a security mess.
AI & Automation
LLM cost optimization 2025: cut inference spend safely
LLM cost optimization in 2025 is mostly an engineering discipline: measure cost per successful outcome, then apply caching, routing, batching, and quantization.
AI & Automation
AI Marketing Automation: Why your marketing gets zero traffic
AI marketing automation fails when data is shattered, errors ship, and governance is missing. Here's a practical playbook to fix it without a stack rebuild.
AI & Automation
AI agent production failures: why 85% fail and how to fix
AI agent production failures are usually evaluation and observability failures. Here’s a practical reliability checklist you can implement this week.
Why We Build AI Agent Armies, Not AI Tools
A blueprint for deploying AI agents as a team: roles, orchestration, guardrails.
AI StrategyChange Management
AI adoption resistance: why employees won’t use AI tools (and what to do instead)
AI adoption resistance: why employees won’t use AI tools (and what to do instead).
EngineeringIntegrations
HubSpot Salesforce integration issues: how to stop sync errors, loops, and broken automations
HubSpot Salesforce integration issues: how to stop sync errors, loops, and broken automations.
EngineeringLLMs & RAG
Improve RAG performance: how to fix RAG retrieval accuracy when it pulls the wrong docs
Improve RAG performance: how to fix RAG retrieval accuracy when it pulls the wrong docs.
Cost OptimizationLLMs & RAG
LLM API cost overruns: how to prevent an unexpected OpenAI bill
LLM API cost overruns: how to prevent an unexpected OpenAI bill.
AI AgentsEngineering
AI agent maintenance: why your agents break in 90 days (and how to prevent it)
AI agent maintenance: why your agents break in 90 days (and how to prevent it).
AI StrategyLLMs & RAG
Model Context Protocol enterprise: what MCP changes
Model Context Protocol (MCP) standardizes how AI systems connect to tools and data. Here’s how to pilot MCP without creating a security mess.
Cost OptimizationLLMs & RAG
LLM cost optimization 2025: cut inference spend safely
LLM cost optimization in 2025 is mostly an engineering discipline: measure cost per successful outcome, then apply caching, routing, batching, and quantization.
AI AgentsEngineering
AI agent production failures: why 85% fail and how to fix
AI agent production failures are usually evaluation and observability failures. Here’s a practical reliability checklist you can implement this week.
AI StrategyOpinions
The rise of open-source tools — and why AI makes customization the default
AI pushes value into integrations, policy, and custom logic. Use this rubric to pick SaaS vs open source vs build, plus a 3-step playbook.
AI StrategyIntegrations
AI Marketing Automation: Why your marketing gets zero traffic
AI marketing automation fails when data is shattered, errors ship, and governance is missing. Here's a practical playbook to fix it without a stack rebuild.
AI AgentsEngineering
Why Most AI Agents Fail (And What Engineering Teams Do About It)
Most AI agents fail in production due to vague success criteria, messy inputs, weak guardrails, and no observability. Here’s what to do instead.
AI StrategyChange Management
5 Signs Your Business Is Ready for an AI Workforce
Not every company needs AI agents today. But if you recognize these five patterns, you are leaving money on the table by not deploying them.
AI AgentsOpinions
Why We Built AI Armies, Not AI Tools
Most companies sell you a single AI tool. We deploy entire AI workforces. Here is why that distinction matters and how it changes everything about scaling a business.
Get AI automation insights
No spam. Occasional dispatches on AI agents, automation, and scaling with less headcount.