Could Jev be the iPhone moment for agents? Not because it is a smarter LLM. It isn’t even an LLM.
@typesafeai's Jev is a decision model: give it context and a set of questions, and it returns structured choices, probabilities and confidence scores in milliseconds.
That makes it ideal for the inner loop of an agent:
• Route requests to the right model
• Select the next tool or action
• Score and verify results
• Apply guardrails
• Escalate uncertain decisions to humans
Today, agents burn time and tokens asking generative models to make thousands of small decisions. Jev could turn those calls into a fast, inexpensive and predictable decision layer.
Large models reason and create. Jev decides.
Could that be the missing primitive that makes agentic applications faster, cheaper and reliable enough to operate at massive scale?
Before he could complete art school in 1942, Richard Scarry was drafted into the Army.
While there, he was assigned to a Special Services unit and was tasked with publishing a newsletter to share news stories from home and boost troop morale. 🧵⬇️
Across India, 118 million adult women in 12 states now receive unconditional cash transfers from their governments, making India the site of one of the world's largest and least-studied social-policy experiments. My piece. https://t.co/4CHYrlYpWD
Hey there. Thanks for all your messages - I'm a bit sore, but I'm okay. Important we keep on telling the stories that need to be told. Here's our report on what unfolded in Los Angeles.
Want to tell you guys about a side project I've been working on w https://t.co/jxCqY0Z8oI : last week we went live with our first product: Team Alignment Platform, TAP, which standardizes and quantifies corporate culture for M&A due diligence and a range of other markets
Cultural integration continues to be a $2 Trillion problem in M&A and the current employee engagement tools and 100 year old survey standards just aren't providing the right and unbiased data. We aim to prevent the AOL Time Warner merger disasters and to help quantify synergies and execution risk using the latest people science research and AI.
Please DM me if interested as an investor, partner or customer!
#ChangeManagement
#CompanyCulture
#CultureDueDiligence
#DueDiligence
#FutureOfWork
#Grodivo
#MandA
#MergersandAquisitions
#PeopleScience
#PrivateEquity
#TAPplatform
#TeamAlignmentPredictor
#VentureCapita
#WorkplaceCulture
#WorkplaceInnovation
https://t.co/f8QLigFr0q
Thousands, and then millions, of American small businesses, including many iconic brands, will go bankrupt this year if the tariff policies on China don’t change.
🧵
Never abandon your loyal customers or pivot blindly without data. Focus on supporting your existing base while pivoting based on strong evidence and thoughtful strategy. 🚀
### 2️⃣ **Don’t Pivot Without Clear, Evidence-Based Direction**:
- **Why it’s a mistake**: Pivoting without concrete data or a clear understanding of where you’re going can lead to confusion and more failure. A pivot should be a strategic decision, not a reaction to temporary challenges.
- **What to do instead**: Take the time to validate your new direction. Use customer insights, market data, and competitive analysis to ensure that the pivot will address a real need. Avoid acting on gut feeling alone—your pivot should be backed by research and a solid understanding of market demand. 📊🧠
Executing a pivot effectively is crucial to ensuring your team, product, and business stay on course. Here are three key things to do when making that transition: 🔄🚀
### 3️⃣ **Test, Measure, and Iterate Quickly**:
- **Why it works**: A pivot isn’t a one-off change; it’s a series of experiments to see what works. You want to move fast, test your assumptions, and adjust accordingly. This minimizes risk and maximizes your chances of success.
- **How to do it**: Start with small, low-risk experiments to test the new approach. Focus on key metrics like engagement, customer feedback, or conversion rates. Quickly learn from the results and make adjustments. **Agile iterations** are essential to fine-tuning your new product direction. ⚡🔧