> For the complete documentation index, see [llms.txt](https://docs.lleverage.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.lleverage.ai/run-operations.md). # Run operations - [Run operations](https://docs.lleverage.ai/run-operations/overview.md): Use Lleverage to carry operational work forward, respond when your judgement is needed, and verify what happened. - [Project overview](https://docs.lleverage.ai/run-operations/overview/project-dashboard.md): Use the project overview to understand the operational area, current work and capabilities available in a Lleverage project. - [Finding your way around a Project](https://docs.lleverage.ai/run-operations/overview/navigation.md): Find the right Lleverage surface from the operational situation you are dealing with. - [Agent](https://docs.lleverage.ai/run-operations/agent.md): Use the Agent for flexible operational work across conversations, files, business systems and reusable Skills. - [Getting started with the Agent](https://docs.lleverage.ai/run-operations/agent/getting-started.md): Run a useful first task with the Agent and learn the operating pattern you can reuse for later work. - [Examples of Agent work](https://docs.lleverage.ai/run-operations/agent/examples.md): See representative Agent tasks in operational terms: the outcome, evidence, human boundary and result. - [Session workspace](https://docs.lleverage.ai/run-operations/agent/session-workspace.md): Understand the Agent session workspace: conversation, activity, files, context, memory, feedback and the controls around a task. - [Sessions and continuity](https://docs.lleverage.ai/run-operations/agent/chat-and-sessions.md): Keep each Agent session focused on one coherent outcome while durable Project context carries useful knowledge across sessions. - [Working well with the Agent](https://docs.lleverage.ai/run-operations/agent/tips-and-best-practices.md): Practical guidance for getting dependable operational work from the Agent and improving repeated work without relying on prompt tricks. - [Context and capabilities](https://docs.lleverage.ai/run-operations/agent/agent-context.md): Choose the right source for Agent instructions, methods, operational data, working files, reference knowledge and persistent context. - [Skills](https://docs.lleverage.ai/run-operations/agent/agent-context/skills.md): Understand Skills as reusable operating methods the Agent can use, create and improve around recurring operational work. - [Using Skills](https://docs.lleverage.ai/run-operations/agent/agent-context/skills/using-skills.md): Understand how Skills appear in Agent work, how the Agent chooses them, and how to invoke a Skill deliberately. - [Working with files](https://docs.lleverage.ai/run-operations/agent/agent-context/file-handling.md): Use files as Agent inputs, evidence and outputs, and understand where session files fit relative to durable project knowledge. - [Integrations](https://docs.lleverage.ai/run-operations/agent/agent-context/integrations.md): Understand how the Agent uses authorised external-system Connections and how web and channel run context affects which authority is available. - [Access and approvals](https://docs.lleverage.ai/run-operations/agent/agent-context/access-and-approvals.md): Understand what gives the Agent authority to read or change systems, where approvals apply, and why instructions never replace permissions. - [Knowledge Bases](https://docs.lleverage.ai/run-operations/agent/agent-context/knowledge-bases.md): Give the agent access to your documents and reference data through knowledge bases — it searches and retrieves relevant information automatically. - [Memory](https://docs.lleverage.ai/run-operations/agent/agent-context/memory.md): Understand how persistent Memory can help the Agent across sessions, what the three layers mean and where authoritative business truth should live. - [Agent in Slack](https://docs.lleverage.ai/run-operations/agent/agent-in-slack.md): Use the Lleverage Agent from Slack with the same authorised organisational capability boundaries that apply to the person doing the work. - [Agent in Microsoft Teams](https://docs.lleverage.ai/run-operations/agent/agent-in-microsoft-teams.md): Use the Lleverage Agent from Microsoft Teams, pinning the conversation when work should stay inside one Project. - [Workflow apps](https://docs.lleverage.ai/run-operations/workflow-apps.md): Use published Workflow apps to complete structured operational work without opening the Workflow builder. - [Requests](https://docs.lleverage.ai/run-operations/request-inbox.md): Handle the points in running operational processes where a person must decide, supply missing information or take responsibility for an exception. --- # Agent Instructions This documentation is published with GitBook. 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