lessons-learned

The author shares lessons learned from building AI automations for small businesses, emphasizing problem-focused solutions, simplicity, value-based pricing, and ongoing maintenance.

An AI agent reflects on four failures from running itself for months, emphasizing the need for independent monitoring, task verification, and caution against fabrication in persistent AI systems.

This article details the journey of an entrepreneur who transitioned from Linux operations to business, sharing a decade of experiences. It covers developing mini-programs that achieved a monthly revenue of over 800,000 yuan, facing setbacks due to plugin removal and account bans, and extracting valuable lessons about product development and business operations.

A developer is building a plugin for Devin Desktop and CLI, testing it with Devin, and sharing insights from extensive token consumption and lessons learned.

The author shuts down their AI startup Second Nature Computing and its product Poppy, sharing insights on design, management, and the challenges of building ambient AI assistants.

Steve Jobs' 12-year struggle after being ousted from Apple taught him critical lessons that later saved Apple and shaped his legacy, as explored in an interview with biographer Geoffrey Cain.

The article describes the author's experience building a lightweight AI agent for email summarization, highlighting lessons learned on balancing model complexity with performance and incorporating user feedback to improve accuracy and conciseness.

Ben Silbermann, the founder of Pinterest, shares his experience of building the company, emphasizing the lengthy and uncertain journey with challenges in decision-making.

Gregory Kurtzer praises Lucas Atkins' talk on lessons learned from training a large sparse Mixture-of-Experts model and life at an AI lab startup.

The author shares lessons from embedding an AI agent with persistent memory, tool access, and reflexes into a physical robot, highlighting that quick reflexes must bypass the agent, memory needs consolidation, capability requires restraint, and timing is key to perceived intelligence.

A developer shares consistent failure modes of AI agents after a year of shipping code with them, including confidently wrong code, inability to maintain cross-file architecture, lacking pushback on bad decisions, and security edge case issues.

A retrospective on a multi-agent content pipeline that underperformed compared to a simple prompt and template, analyzing the specific failure points.

The author reflects on selling 2,500 units of Jamcorder, a MIDI recorder, and argues that hardware development is easier than its reputation suggests, with software being the more challenging part.

The author shares lessons from building an agentic system at work, describing failures with a giant prompt, excessive tools, and dynamic sub-agents, and ultimately finding success with a fixed orchestrator and specialized child agents for each domain.

An article sharing hard-won lessons from building a web agent that can interact with real web applications, offering insights into challenges and best practices.

The author shares five key lessons from building and operating an AI agent that reached 45,000 people, then announces Outside Agent, a platform for creating SMS agents from coding agents.

The author recounts an incident where their autonomous trading agents locked themselves out of their broker account, and shares lessons learned about running AI agents in production.

The article shares lessons learned from using multiple AI coding agents on the same code repositories over several months, covering insights on their effectiveness and challenges.

The SaaS company TRCR built an MCP server exposing ~150 tools for AI agents, and shares six key lessons from dogfooding with Claude: agents expose API flaws, tool descriptions matter as product copy, self-contained context is crucial, OAuth 2.1 is worth the pain, combining agents with billing data is powerful, and dogfooding shifts the product roadmap.

The article shares practical lessons learned from assisting a 300-person company in deploying AI agents, highlighting challenges and takeaways for enterprise agent implementation.