Introducing Merge’s Universal Context Layer.
It substantially decreases token cost while increasing accuracy.
Every company uses AI wrong:
Say your designer makes a deck using Claude. They teach Claude your design systems and typography.
Now a Marketing hire makes a deck. None of the information your designer taught Claude gets passed over… why?
Merge fixes this:
All knowledge and memory across your entire company gets stored inside our context layer.
When someone on the org teaches Al, that skill lives across the entire organization instead of staying locked in their session.
Your AI runs faster, cheaper, and with more accuracy. You don’t have to switch systems, incur more costs, or retrain anyone on your team, Merge runs invisibly in the background.
Book a demo here: https://t.co/aj3ecxk7zP
What’s becoming clear from every new agent company is that connectors are king.
Every user expects connectivity to everything, and the better the connectors, the more magical the experience.
We know - we’ve been building the best connectors for years.
https://t.co/uWkc1sVOr9
We just cut AI spend by 75% across an entire workforce in one click.
Introducing: Merge for Workforce.
Without Merge, your employees are left choosing one of two options:
1. Spend 100x the cost they should be from using frontier models for everything
2. Deliver subpar work from overly restrictive model access
Instead with Merge, IT can connect any identity provider and set model routing policies by team in one click.
Merge pushes them to every machine through a desktop client, overriding the model configs across your team’s AI assistants and coding tools.
Now every task gets the right model for the job.
The result? 75x fewer tokens with faster and better output.
New @ThePeelPod with @shensi
Most founders get one founding story. Shensi thinks @merge_api has three.
Shensi and @GilFeig started Merge in 2020, watched their first customers die, then rebuilt themselves twice for the AI era.
Not many founders talk this honestly about tearing up their company. A lot of lessons for others trying to do the same.
We get into why integrations turned out to be so important in AI, the playbook behind their night-shift 5-11pm AI transformation, almost hiring a foreign spy, why founders with an EA are moving too slow, the Embarrassment Framework, vibe coding a dinner bot that 10x'd their customer events, and why 6% of Merge employees get married.
Full episode here + links below!
Timestamps:
0:00 Something broke every year since 2020
2:22 How Merge went all-in on AI on nights and weekends
5:40 New launches got faster
8:32 Building connective infrastructure for AI
10:51 The dinner where Merge started
13:11 Six months of research before a line of code
19:00 Almost hiring a foreign spy
20:48 Merge’s 6% marriage rate
22:50 Hiring enthusiastic, nice, smart people
28:02 Early stage founders don’t need an EA
31:27 Shortcuts are a mentality
33:01 The AI tool that 10x'd their customer dinners
38:33 Marketing became an engineering function
40:51 Starting with SMB and climbing the logo ladder
42:07 How the product went cross-category
44:16 Launching Agent Handler and a new pricing model
46:47 Every product should be multi-model
49:58 Why most MCP servers don’t work
53:31 Startups should go all-in on enterprise
57:00 The hardest things are most defensible
1:00:26 Say "psycho shit" to be memorable
1:05:47 The Embarrassment Framework
1:10:23 Frank Slootman and being okay with being disliked
1:12:48 Giving feedback got scarier at 100 people
1:14:01 What only the CEO can do
1:19:44 The best marketing is not doing what everyone else does
Copilot just got the keys to hundreds of your tools.
Today, I'm excited to announce Agent Handler is coming to the Microsoft Agent Store.
Every M365 customer gets access to hundreds of business systems inside Copilot, Teams, Outlook, Excel,
AI agents turn every employee into a security risk.
Introducing Agent Handler for Employees: secure AI access for every employee.
We’ll give you $10K if you get sensitive info from @JeanelleAgent.
Introducing Merge Gateway - Build Your Own Router.
You're three sprints into your coding assistant.
You pick the most hyped model, integrate, test, deploy.
A month later, a new model drops.
Now you re-test, re-integrate, re-deploy.
Your product didn't change, but the benchmark did.
That's how most AI teams operate.
Chasing a "best" defined by people who've never seen their product.
There is no best model.
There's only the right one for your product, users, and use-cases.
Build Your Own Router runs on your definition of good.
Pick your benchmarks, weigh them, add your own evals.
@merge_api routes every request to your winner.
👉$100 in credits to the first 200 people that comment
https://t.co/VLbDYycQRY
We just built the #1 tool every AI team wants.
Introducing @merge_api Gateway: LLM routing, fallback, cost guardrails, and security, all in one place.
Everyone gets $10 free LLM usage on us to try it out.
RT+ comment “Gateway” → we’ll double your credits.