Article

LangChain's CEO: better models alone won't get your agent to production

VentureBeat (Harrison Chase) · venturebeat.com

Kills the 'wait for GPT-next' excuse; harness engineering is the work.

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It answers 2 questions

  1. Should I put an AI agent in my product, or is a simple workflow enough?
  2. Why do most AI agent projects fail, and what do the winners do differently?

Read with it

  1. The stat everyone quotes, with the integration story behind it. fortune.com Article MIT report: 95% of generative AI pilots at companies are failing Fortune
  2. Names the 'prompt doom loop' that kills adoption inside companies. salesforce.com Article Why 95% of AI Pilots Fail, and What the Other 5% Do Differently Salesforce
  3. An agent-builder's readthrough of the MIT NANDA findings. beam.ai Article 95% of Enterprise AI Pilots Are Failing: MIT Report Reveals Why Beam AI
  4. The testing-company view: winners treat agents as software, with rigor. tricentis.com Article Why 95% of AI pilots fail, and what it takes to scale in the agentic era Tricentis
  5. A concrete path from pilot purgatory to production. dataiku.com Article MIT Says 95% of GenAI Pilots Fail: How to Beat the Odds Dataiku
  6. Pattern-matches the survivors: workflow integration and adaptability. multimodal.dev Article Why AI Pilots Fail and How to Succeed Like the 5% Multimodal
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