Applied AI: Why Building AI Agents Requires a New Playbook
Nobody is talking about this: building AI agents isn't about better models—it's about a completely different playbook.
Why it matters
As enterprises move from LLM experimentation to agent deployment, architectural and operational practices must fundamentally shift. This practitioner guide captures the strategic shift required for leaders scaling beyond chatbots.
The key facts
8 to knowPractitioner-focused guidance on agent architecture patterns
Implied shift from model-centric to agentic-centric development
Source: Salesforce (enterprise AI stakeholder)
Published April 2026 (timely for active agent adoption wave)
Practitioner's guide positioning (suggests field-tested patterns emerging)
Focus on agentic era as distinct phase from current LLM deployment
Salesforce authorship signals enterprise adoption curve inflection
Published April 2026—suggests agentic patterns are now mature enough to codify
Go to the source
Salesforce Newsroomsalesforce.com
Publisher excerpt: A practitioner's guide to the agentic era