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Engineering | From engineering
How to estimate AI-native software projects
Estimating under uncertainty: the pitfalls, a five-step method, and what changes with AI
Engineering | From engineering
Three context layers every Agentforce implementation needs (and how to build them)
Salesforce spent $8B on Informatica because AI agents need unified context. Here's how to build the data architecture that makes Agentforce actually work in production.
Engineering | From engineering
Salesforce Agentforce flex credits: from $2 a conversation to 10¢ an action
Salesforce Agentforce flex credits changes everything. From $2 per conversation to 10¢ per action - pay only for real work done. Game changer.
Engineering | From engineering
The 25% of Agentforce Interactions That Consume 75% of Your Budget
The AI Effort Paradox: Why trying harder costs more
Engineering | From engineering
The 3X performance gap: Why your Agentforce prompts need batch testing
Discover why single prompt testing fails in production. Learn how batch testing revealed a 3x performance gap between AI models and the simple technique that boosted Agentforce speed without sacrificing quality.
Engineering | From engineering
Peeking inside the Mind of the Machine
On setting up reporting for Agentforce and why reporting is the heart of AI reliability
Engineering | From engineering
Some useful best practices for Agentforce implementations
Best practices and tricks of the trade that ensure your Agentforce agents operate accurately and consistently, even under complex conditions.
Engineering | From engineering
Going x to 10x on high-volume recruiting with Agentforce
Let's look at how Agentforce can do the heavy lifting so time-starved recruiters can focus on building relationships and making successful placements.