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realfast labs|From the Labs
What We Learned Deploying AI Agents for TASC Outsourcing
We built two Agentforce agents for TASC Outsourcing that handled 5,100+ sales interactions and improved their email response rates from 0.33% to 1.93%.
realfast labs
From the Labs
realfast labs|From the Labs
The $21,600 Problem: Why Salesforce Developer Onboarding Costs More Than You Think
Developer onboarding costs $21,600 annually per 20-person team. See how ExoPair compresses 3-5 days of onboarding into day-one production deployments.
realfast labs|From the Labs
Nobody wants to update tickets. So we automated it
Developers hate updating tickets. Managers hate chasing updates. We use Exo, our internal AI agent, to make the whole problem disappear.
realfast labs|From the Labs
Inside look: how AI-native teams deliver Salesforce projects 3X faster
Transform Salesforce delivery speed with AI-first methodology. See how teams deliver "humanly impossible" results in days, not months.
realfast labs|From the Labs
Scaling hiring with AI: How realfast uses AI Interviews to save time
We were drowning in intro calls. So, we brought in an AI interviewer to do the talking for us—literally. Here’s how it’s helping us scale faster, stay human, and still make great hires without burning out.
realfast labs|From the Labs
4 surprising things we learned testing agents on Agentforce
We ran into some unexpected quirks while testing Salesforce agents. Here's what you need to know before starting.
realfast labs|From the Labs
What do you pay for while using Agentforce?
While the base pricing for Agentforce seems straightforward, the real cost structure involves understanding conversations, Einstein requests, and data credits – each with its own nuances and optimization opportunities.
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.
realfast labs|From the Labs
Speed is the name of the game.
Faster implementations are the Hero USP for AI-based tooling, not cost savings.
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 towards increasing velocity and throughput.
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.
