Eduardo Enciso

Founder & AI lead @swarmode, building @ValueLayer_AI. Prev. Startup partnerships lead @Azure

[Garry Tan @garrytan]

Seasoned founders in the age of intelligence are aging like fine wine

[Eduardo Enciso @edenciso]

@FishAudio Fish

[Eduardo Enciso @edenciso]

@WatchChad Amen

[Eduardo Enciso @edenciso]

@Holy__Bible1 In Jesus name, Amen

[Eduardo Enciso @edenciso]

@claudeai great news, weekly limit resets will be awesome too!

[a16z @a16z]

AI native startups have fewer employees

Charts of the Week: https://t.co/qmjdkZzisp

[Eduardo Enciso @edenciso]

The CEO of Allbirds’ new AI biz has a plan, but no employees https://t.co/sUKcNAYAKs Call it an AI business with a sole founder and a very large seed round. What’s next is less clear

[Eduardo Enciso @edenciso]

Google Launches Agent Discovery Standard https://t.co/whBaKNi05Y

[Eduardo Enciso @edenciso]

Building AI Agents for AR Glasses and XR Devices with NVIDIA XR AI https://t.co/ZVkMbPFIGB

[Eduardo Enciso @edenciso]

76 cybersecurity experts urge US Gov to reverse Anthropic Fable model ban https://t.co/G1cOaZbnwv

[Eduardo Enciso @edenciso]

Rising AI Costs Force CEOs to Rethink Token-Heavy Strategies https://t.co/GMMfEJVMSO

[Eduardo Enciso @edenciso]

NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI https://t.co/iBZAnaF6fE

[Eduardo Enciso @edenciso]

For Robotaxis, Safety Must Be Built In, Not Bolted On https://t.co/V7PqtfwC5I

[Eduardo Enciso @edenciso]

https://t.co/R7FrBH4m19

[Eduardo Enciso @edenciso]

@hyperagentapp sounds enticing 🤔

[Eduardo Enciso @edenciso]

The "AI Experiment" phase just ended. Welcome to the ROI Reckoning.

Most companies are currently funding their AI strategy using 2025 SaaS logic.
They measure "Seat Utilization" and "Employee Adoption."
This is a mistake.

In the world of Agentic AI, seats are irrelevant. Inferences are everything.
If you are paying $200/month for a "SaaS AI Wrapper" to do what a $0.05 raw API call can do, you don't have an AI strategy. You have a massive revenue leak.

To solve this, we’ve moved our clients to a new North Star metric:
The Inference Efficiency Ratio (IER).
The math is simple:
IER = (Business Value of Outcome) / (Total Compute + Model Cost)

When you stop measuring "how many people logged in" and start measuring "how much profit each inference generated," your entire stack changes:
You kill "Zombie AI": Tools that are paid for but never perform a profitable task.
You unbundle "SaaS Wrappers": Replacing $20k/year subscriptions with $500/year sovereign pipelines.
You scale "Value-First": You only increase spend where the IER is 3.0x or higher.

We just ran a 10-minute forensic audit for a mid-market firm using our 21-agent swarm.
Result: We found $77,820 in redundant "wrapper" spend that provided zero unique IER value.

That’s money that should be reinvested in driving more AI business outcomes, not a vendor’s pocket.

Stop defending your AI spend. Start auditing your AI yield.
I’ve mapped out the exact 3-step logic we use to calculate IER and build an "AI Spend Kill-List."

If you want the PDF breakdown and the anonymized AI audit report to share with your CFO, comment or DM me and I’ll send it over. 👇

[Eduardo Enciso @edenciso]

Today we’re launching the ValueLayer Agentic Audit Swarm — a self-serve 21-agent AI audit system powered by Claude, to help companies turn AI spend into measurable business outcomes.

We remove human bias by compressing a 100-hour AI strategy audit into a 10-minute of cognitive-scale autonomy to deliver evidence-backed ROI attribution, revenue leakage, spend redundancy, and board-ready AI value roadmap to lead executive decisions.

600x faster than consulting. 4% of the cost. Your data. Zero retention

Free demo with sample data → https://t.co/yoaXV7ejc0

[Eduardo Enciso @edenciso]

@Jason I'm in

[Eduardo Enciso @edenciso]

Nvidia’s OpenClaw for enterprise could solve its biggest problem: security https://t.co/GskpmW4VXD

[Eduardo Enciso @edenciso]

@PeterDiamandis soon, anyone will be able to launch a startup that handles $10M in throughput with a "burn" that consists purely of electricity and GPU time, not team salary. This will allow 100x higher leverage per founder