| Business understandingGive AI the knowledge behind the work. | Bring context through files, projects and connected apps supported by your product. | Build and maintain your own data connections, retrieval and business context. | ✓Dedicated business data and relevant context equip agents for your work. |
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| Specialist workApply the methods your work needs. | Configure instructions, reusable skills and the customization your product offers. | Develop task-specific skills, playbooks and model adaptations with your team. | ✓Business-specific models, professional skills and playbooks built around the task. |
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| ContinuityKeep progress from one step to the next. | Use conversation history, project context and available memory features. | Implement persistent memory, task state and recovery across runs. | ✓Retain useful context, decisions and task progress so work can continue. |
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| Actions across systemsCarry the work through to a result. | Use supported tools and actions, adding custom integrations where needed. | Engineer integrations, orchestration and checks on the resulting system state. | ✓Connected tools and workflows let agents take action and check the result. |
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| Processing efficiencyMake better use of your AI budget. | Manage product settings, usage allowances and the context supplied to tasks. | Instrument usage and develop caching and context-reuse strategies. | ✓Reuse suitable context and previous computation to reduce repeated processing. |
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| Deployment and operationKeep agents useful as work changes. | Your team configures adoption, access and how the product fits daily work. | Your team owns development, deployment, maintenance and ongoing improvement. | ✓Coryntas designs, builds, deploys and maintains agents with your team. |
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