Insights | The realfast view
After AI, There Is No Average
With AI, the bell curve an enterprise is built on becomes a power law: a few people produce most of the value, and most of the rest produce slop.
Sidu Ponnappa
Insights | The realfast view
AI transformation patterns: the playground
If you take AI transformation advice at face value, the work looks done once the tools are bought, and the business still moves like it did a year ago. The Playground is the pattern that turns the tools into a business that moves differently.
Insights | The realfast view
Don't go AI native
Going AI Native means one thing: your customers get superhuman speed and superhuman quality no competitor can humanly match. A Head of AI and a Center of Excellence won't get you there: Parnas, Conway, and Jevons explain why.
Insights | The realfast view
There is no product
The "SaaS is dead" debate is fixated on pricing. The real shift is deeper: AI is converting one class of software after another from a scarce asset into cheap, replicable inventory, and below that line, there is no product.
Engineering | From engineering
The 25% of Agentforce Interactions That Consume 75% of Your Budget
The AI Effort Paradox: Why trying harder costs more
Stories | Field notes
When Reasoning Becomes Productized: AI Transformation x IT Services
AI is transforming IT services' economic model by decoupling revenue from headcount
realfast labs | From the Labs
Why AI-first Salesforce implementation changes everything
Salesforce is a powerful tool, but traditional implementations often lead to data chaos within months. An AI-first Salesforce implementation changes that.
realfast labs | From the Labs
Async work is where the juice is.
Agents that can do work asynchronously will be crucial to make GenAI scalable and viable for enterprise workloads.
Stories | Field notes
Speed up Salesforce Implementations by 2x with Vayu
How Vayu, our agentic platform for Salesforce teams, cut the daily operational load, change-request turnaround, and testing cycles in 2024.
Insights | The realfast view
Here's how to evaluate AI Agents for Enterprise use-cases
A problem evaluation framework we've developed over the past year for both GenAI founders and investors.
realfast labs | From the Labs
Speed is the name of the game.
Speed sells AI tooling, not cost savings.
Insights | The realfast view
Dumb agents beat smart ones.
You want your agents to be just smart enough to do the task consistently and reliably, and not any smarter than that.
realfast labs | From the Labs
For AI Transformation, it helps to start small.
It actually helps to be less ambitious when starting out with AI transformation and take small, meaningful steps toward increasing velocity and throughput.
Insights | The realfast view
For Applied AI, Data = Work
Foundational AI and Applied AI operate on entirely different planes. So, the approach you take to build an applied AI company will also be very different.
realfast labs | From the Labs
Our unit test agent is now in production.
We're talking 12-16x faster test creation, with 95%+ code coverage.
realfast labs | From the Labs
Agents are minimum viable intelligences
For typical enterprise workloads, LLMs are raw material. You will need software engineering to turn them into a scalable resource.
Insights | The realfast view
Evals for agents are a hard problem
Evaluating an AI tool's performance in real-world workflows is inherently more complex than benchmarking the models themselves on established datasets.
Insights | The realfast view
Beyond wrapper tech
Wrapping an API in an interface is not the hard part.
Stories | Field notes
Hello World!
IT services is being rebuilt around agents.