Chat

Chat is the primary way you interact with agents in Sprigr Teams. Whether you are asking a question, delegating a task, or reviewing a report, it all happens through the chat interface.

Starting a conversation

There are two ways to start chatting with an agent:

From the Chat page

Navigate to the Chat page from the sidebar. You will see a list of agents available to you. Click on any agent to open a new conversation, or select an existing conversation from the sidebar to continue where you left off.

From the agent detail page

Open any agent from the Agents page and click the Chat button. This opens a new conversation directly with that agent.

Try asking your agent

“What’s on the schedule for today? Any urgent jobs I need to know about?”

“Draft a quote for a hot water system replacement at 42 Smith Street. Standard Rheem 250L electric, including installation and old unit removal.”

“Check if we have any customers in the Southside area who are due for their annual gas safety check.”

The chat interface

The chat interface is split into two areas:

Conversation list (left sidebar)

The left side shows all your conversations, grouped by agent. Each entry shows:

• The agent’s name and avatar
• A preview of the last message
• The time of the most recent activity

Click on any conversation to switch to it. You can have multiple conversations with the same agent — for example, one for an ongoing project and another for a quick question.

Message area (main panel)

The main panel is where the conversation takes place. At the bottom you will find:

• Message input — A text box where you type your message. You can write anything from a short question to a detailed brief.
• Send button — Click to send your message, or press Enter.

Messages appear in chronological order with your messages on one side and the agent’s responses on the other.

Message types

You will see several different types of content in a conversation:

Your messages

These are the messages you send to the agent. They appear in the conversation exactly as you typed them.

Agent responses

The agent’s replies, which may include formatted text, bullet points, tables, and links. Agents format their responses to be easy to read and scan.

Tool use indicators

When an agent uses a tool during its response — such as searching a knowledge base, looking up an email, or calling an API — you will see an indicator showing what tool was used and a brief summary of the result. This gives you visibility into what the agent is doing behind the scenes.

For example, you might see:

• “Searched Shared Knowledge for warranty policy”
• “Sent email via Gmail to supplier”
• “Looked up job #4521 in simPRO”

These indicators help you understand how the agent arrived at its answer and confirm it used the right sources.

Knowledge search and content drafting

Agents can search your knowledge bases and use the results to create content. For example, asking your companion to “search our knowledge base for our refund policy and draft a customer email” will trigger a knowledge search, then compose a formatted email based on what it finds.

Delegation to other agents

Your companion agent can delegate tasks to specialist agents. When you ask it to check support tickets or handle a task outside its scope, it routes the request to the right agent and brings the results back to you.

The companion collects responses from the delegated agents and presents a consolidated summary with actionable items.

Building dashboards and websites

Agents can generate entire web pages and dashboards from a natural language description. Ask your companion to create a dashboard with specific metrics, charts, and styling — it will write the code, deploy it to Sprigr’s hosting, and give you a live link.

The agent generates the code, deploys it to Sprigr’s hosting, and gives you a live link. Here is the dashboard it created — fully functional with KPI cards, interactive charts, and a professional dark theme:

Iterative refinement

You can refine anything the agent creates by giving feedback in natural language. The agent reads the source, understands what needs changing, and redeploys the update — all within the same conversation.

Conversation history

Every conversation is saved automatically. You can return to any previous conversation from the sidebar and pick up where you left off. The agent remembers the context of the conversation, so you do not need to repeat yourself.

Conversations persist across sessions. If you close your browser and come back later, all your conversations are still there.

Note

Each conversation maintains its own context. If you told the agent something in one conversation, it will not automatically know about it in a different conversation. Start a new conversation for a new topic, or continue an existing one if you want the agent to remember what was discussed.

Tips for better conversations

Get the most out of your agents

• Be specific — “Send a summary of overdue invoices from March to the finance team” works better than “Help with invoices.”
• Provide context — If you are referencing a specific project, customer, or document, mention it by name so the agent can look it up.
• One task at a time — Agents handle focused requests better than a long list of unrelated tasks in a single message. Break complex requests into steps.
• Correct the agent — If an agent gets something wrong, tell it. It will adjust and improve within the conversation.
• Ask follow-up questions — Agents maintain context within a conversation, so you can naturally build on previous messages. “Now break that down by month” works perfectly after a summary.

Next steps

• Inbox — View all your conversations in a thread-based inbox format.
• Channels — Connect agents to Slack, WhatsApp, Telegram, or your website so others can chat with them too.
• Companion Agents — Use your personal companion agent as a single point of contact that delegates to specialists.
• Knowledge Bases — Make sure your agents have access to the information they need to answer accurately.