Guides, engineering and product updates
Blog & Updates
How to build, run and watch Coworkers: practical guides, engineering deep dives and product updates from the team behind Rerun.
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Tutorials articles.
AI Agent Frameworks Explained: How to Choose the Right FoundationA framework gives your agent a brain and a loop. It does not give you governance, human control, or observability. Here is how to choose an AI agent framework, and what you need around it to run one in production.
AutoGen vs CrewAI: Which Multi-Agent Framework Should You Build On in 2026?AutoGen is in maintenance mode, CrewAI went standalone. A 2026 comparison of architecture, orchestration, and production readiness, plus the governance layer both leave to you.
AI Agents for HR and Recruiting: Screening, Onboarding and Safe AutomationAI agents can now run most of the HR lifecycle, from candidate screening to onboarding to employee support. But recruiting is legally high-risk, so the deployment model matters more than the model. Here is what HR agents actually do, and how to deploy them without creating bias, privacy, and compliance exposure.
AI Agent Memory: How Agents Store, Retrieve, and LearnHow AI agent memory works: short-term vs long-term, the episodic, semantic, and procedural types, how agents store and retrieve with vector search, how they learn, and how to govern memory in production.
CrewAI Alternatives: 7 Governed No-Code AI Agent Platforms Compared (2026)Gartner says 40% of agentic AI projects will be canceled by 2027, mostly over governance. Here are 7 CrewAI alternatives compared on human-in-the-loop, observability, and audit, from frameworks to governed no-code platforms.
AI Agent Cost: Pricing Models, Token Optimization and the ROI Math (2026)What AI agents really cost in 2026: the five pricing models, the hidden token spend that dwarfs the sticker price, and the ROI math to justify buy vs. build.
AI Agents for Healthcare: Use Cases, Risks, and How to Deploy Them SafelyAI agents can take real work off clinical and admin teams, from scheduling to prior authorization to ambient documentation. The hard part is not the use cases, it is deploying them safely under HIPAA and human oversight. Here is how.
Types of AI Agents Explained: The 5 Core CategoriesThe five core types of AI agents, from simple reflex to learning agents, ordered by autonomy. Real examples, where agentic and multi-agent systems fit, and how to match the type to the job.
AI Agents for Real Estate: How to Deploy Agents That Close the Loop (2026)68% of Realtors use AI, but 46% see no impact. AI agents for real estate qualify leads, book showings, and update your CRM, not just chat. Here's how to deploy governed, compliant agents step by step.
LangGraph vs CrewAI: How to Choose an AI Agent Framework (2026)CrewAI vs LangGraph compared across architecture, state, human-in-the-loop, observability and production readiness, plus when to pick each and how to govern both in production.
AI Agents for Finance: Use Cases, Workflows, and How to Deploy ThemHow finance teams deploy AI agents on close, AP, and FP&A workflows safely, with human approvals, least-privilege access, and full observability.
Agentic AI vs. AI Agents: What's Actually the Difference?Agentic AI and AI agents are not the same thing. One is an entity, the other a paradigm. Here is the real difference, why it matters in production, and how to govern the autonomy that comes with it.2,000+ businesses run on Rerun
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