Thunk.AI

A high-level overview of the execution layer of Thunk.AI

Runtime environment

Understand the execution semantics of the thunk workflow

Workflow orchestration

Understand how an AI Agent executes within a control "guardian" environment

AI Agent execution within an AI Guardian

Learn how the LLM models used by AI agents incur cost and delay

Understanding LLM costs and latency

Fine-grained controls for different aspects of AI governance

AI Governance

Control how long finished work items are kept, and how long deleted items stay recoverable

Data Retention

Understand how automation and AI agents execute

Execution Runtime

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Create your workspace and invite the people you work with.

Set up your account

Build your first workflow and watch it run end to end.

Ship something

Connect the tools your team already uses to bring data in.

Connect your stack

A quick lap of the product so you know where everything lives.

{appName} in 60 seconds

This prototype demo is aware that you are reading “{title}”. It can point you back to the current article, but a production article-aware Fin contract is still follow-up work.

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Because you already asked about invitations, this prototype demo can add the follow-up: use the role selector before sending each invite to limit access to the teammate responsibilities.

Prototype role-limiting follow-up

This prototype demo suggests starting with your workspace profile, inviting the team members who need access, and then connecting the integrations you use.

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In this prototype demo, integrations are configured from workspace settings. Choose the integration, connect the account, and review the enabled permissions.

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In this prototype demo, invite teammates from workspace settings, then choose the access each teammate needs before sending the invitation.

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This prototype demo does not have a scripted answer for that question yet. Try asking how to invite your team or open a source article. No production Fin API was called.

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