Lucid agent models: build a bounded workflow before an autonomous system
Choose between a fixed workflow and model-directed actions, then define tool permissions, approval points, stop rules, and recoverable state.
07 / BOUNDED ACTION
Build useful model-driven workflows with narrow tools, explicit permissions, meaningful approval, and a stopping condition that the application enforces.
Start with a workflow
Constrain every tool
Review consequential actions
Some jobs need a fixed sequence, not model-directed planning. Summarizing one selected entry can be an authorized read, a model call, validation, and a review screen. Start with that simpler arrangement when the steps are known. Add branching only when a concrete requirement makes it useful.
The Lucid Agent Models topic covers how model decisions interact with workflow state and tool permissions. It is an architecture resource, not a claim that LucidAPI.com runs autonomous agents or provides a proprietary family of agent models.
A tool should expose one narrow operation with validated inputs. A read-selected-entries tool should receive only the records authorized for the current task. Do not provide unrestricted storage access and rely on the model to remember a written limitation.
Separate reading from editing, deleting, exporting, and publishing. A model may propose an operation without being authorized to execute it. Application code must check the operation, resource set, and current permission before any state change. Journal text and retrieved documents remain untrusted task data, even when they contain convincing instructions.
Show what action is proposed, which records it affects, and where the result will go. Approval for a private draft should not become permission to publish later revisions. If the proposal changes materially, the approval should not silently carry over to the changed action.
Bound the number of steps, elapsed time, calls, and permitted tool operations. Name success, clarification, cancellation, budget exhaustion, and failure as distinct outcomes. The system should be able to stop with an understandable explanation instead of treating continued generation as progress.
Store explicit task state and execution records so a restarted worker does not repeat completed actions blindly. A model's statement that something happened is not an authoritative transaction record. The application should know which operation committed and how duplicate requests are handled.
A short workflow may not need persistent memory. Retaining extra context introduces new review, access, and deletion responsibilities. When memory is justified, distinguish explicit user preferences from generated inferences and provide a real way to remove retained information in the implemented product.
Evaluate the full action sequence, not only the final prose. Review accessed resources, rejected tool calls, approvals, retries, and terminal states. The bounded-workflow article supplies a concrete private-draft example. Pair it with the cost guide and testing guide before expanding the decision space.