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Back to AI for the Fortune 2000: How Tenex Builds an AI-Native SDLC — Alex Lieberman & CJ Hess, with Alex Lieberman & CJ Hess.

Why Do AI Agents Need a Standard Process First?

Alex Lieberman says you can't automate a process that does not exist. When 40 people all roughly do the same function but each person does it a little differently, building an agent that proactively does the work in the background gets much harder.

A company can sit down with the people, give them tools, and walk them through how they could augment their own workflow. Real leverage starts when agents surface work, a person reviews it and throws it back, and the person becomes more of an agent manager. The shift toward the agent-manager role is on the cusp.

The recommendation to companies is to build a process around the organization within the company first, then hand off the work to an agent in the background. Without some form of standardization, the agent cannot tell whether the work is right, evals cannot be built around the system, and the value an agent doing the function would have cannot be delivered.

Transcript

AI for the Fortune 2000: How Tenex Builds an AI-Native SDLC — Alex Lieberman & CJ Hess ·

Latent Space: The AI Engineer Podcast

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  1. What Does Paying Engineers for Outcomes Mean?CJ Hess says paying engineers for outcomes means rewarding output instead of hours, because hourly client work paid him less as his output got better and…
  2. What Do Fortune 2000 Companies Ask Tenex to Do?Alex Lieberman says Tenex started as an AI-powered dev shop about 18 months before this conversation, because engineering looked like the canary for AI.
  3. What Is Tenex's Meta-harness?CJ Hess describes Tenex's meta-harness, the engineering workflow used for long-running tasks.
  4. How Much Do Companies Spend on AI Tokens Per Employee?Shawn Wang says most companies spend about $10 to $200 per employee on AI tokens. AI-native companies turn the comparison into a percentage, roughly 10%.
  5. Why Do Most Enterprises Lack an AI Agent Outside Engineering?Alex Lieberman says enterprise adoption of AI looks like milestones in a race, and the drop-off is steep.
  6. Why Won't Large Companies Rip Out Salesforce and SAP?Alex Lieberman says ripping a system out and rebuilding it gets harder as a company moves up market, and he does not agree that Salesforce or SAP is really at…

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