AI Agents.
How Humfrid uses autonomous AI agents to run product growth, coordinate work, and replace manual ops — practical patterns from a team running on agents.
- Jun 28, 2026
AI Agents for Product Teams: What They Actually Do
Agents for product teams do real work, not just chat. See six concrete use cases, what to look for, and how Humfrid runs them on a shared graph.
7 min read - Jun 1, 2026
Why Your AI Agent ROI Is Disappointing (And the One Fix No One Talks About)
Your AI agents aren't delivering ROI — and it's not the model's fault. The overlooked fix that separates the 14% who scale agents successfully from everyone else.
6 min read - May 25, 2026
AI Agent Sprawl: 5 Symptoms That Are Killing Your Productivity
The average org now runs 12+ AI agents — and 50% of them never talk to each other. Here are the five signs you've hit AI agent sprawl, and what to do about it.
8 min read - May 24, 2026
How to Give Your AI Agents Persistent Memory
Most AI agents are brilliant in one session and amnesiac the next. Here's how to give them a persistent, searchable memory layer that survives every conversation reset.
8 min read - May 24, 2026
How Do I Make My AI Agents Less Stupid Over Time?
Your AI agents aren't getting smarter because they have no memory between sessions. The fix isn't better models or better prompts — it's giving them something to remember.
8 min read - May 24, 2026
Run 3 Agents in Parallel With Humfrid in 20 Minutes
A literal setup guide: install Humfrid, connect Claude Code, create tasks, assign to multiple agents, and watch them coordinate via shared context. Start to finish in 20 minutes.
7 min read - May 24, 2026
Stop Your Agents From Losing Context: Multi-Agent Coordination Done Right
Running multiple Claude Code agents in parallel? They're working in isolation. Here's how to give them shared context so they stop duplicating work and contradicting each other.
8 min read - May 24, 2026
How to Run AI Agents Without Babysitting Them
The core problem isn't agent capability — it's that agents stall without strategic context. Here's how to fix the three root causes of agent supervision overhead.
8 min read - May 15, 2026
The Autonomous Product Team: How to Build and Run One in 2026
An autonomous product team uses AI agents to handle research, synthesis, and coordination — so product leaders can focus on strategy. Here's how it works.
8 min read - Apr 25, 2026
Code Intelligence: How Our Coding Agents Know What to Do
Cursor, Copilot, and Claude Code search a codebase with text matching, which misses most of the places that need to change. Humfrid's Code Intelligence gives agents the full relationship map in milliseconds.
7 min read - Apr 15, 2026
The Real Reason AI Agents Fail (It's Not the Models)
Most agent failures aren't capability problems. They're organizational clarity problems. And that changes everything about how you fix them.
6 min read - Feb 24, 2026
memory.md Is Not Enough: 9 Requirements for Long-term Memory for Agents
Everyone agrees agents need memory. Nobody agrees on what that means. Here's what we've learned building it.
8 min read - Jan 14, 2026
Context Quality Matters More Than Context Quantity
MCPs and integrations are solving the context quantity problem. You can now pipe virtually anything into an LLM - your codebase, your docs, your Slack history, your entire knowledge base. The pipes are built and the integrations exist. What now?
4 min read