AI Models & Platforms

Sierra Puts Ghostwriter at the Center of Agent Studio Workflows

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Sierra announced on November 2, 2026 that it had redesigned Agent Studio around Ghostwriter, its agent-building agent, bringing investigation, journey editing and testing into one conversation. Evidence, proposed changes and test results remain together so teams can review them before anything goes live.

Previously, users had to move between different parts of Agent Studio to edit journeys, run simulations and review performance. The new workflow allows a user to ask why resolution rates dropped, examine conversations, update a journey and test the fix without leaving that conversation.

Sierra introduced Ghostwriter on March 25, 2026 as an agent for building other agents. Its original inputs included standard operating procedures, support-call transcripts, photographs of whiteboard sketches, process documentation, audio recordings and plain-English instructions. Ghostwriter uses those materials to identify key behaviors and edge cases for agents operating across voice, chat and email. On September 28, 2026, Sierra expanded it into an always-on, proactive teammate in Slack and Teams that can review customer interactions, suggest improvements and help turn them into experiments.

Persistent Context and Separate Sessions

Ghostwriter now remains available as users move among journeys, simulations and dashboards, and it can see the item currently being viewed. A user can ask about an apparent problem or have Ghostwriter address it without restating the surrounding context. The redesigned experience combines functions previously spread across Explorer, Sierra Assistant and other specialized agents, removing the need to know which tool handles a particular task.

Each session operates as a chat thread containing both the conversation and the changes Ghostwriter makes. Those changes stay in the session until someone reviews and merges them. Separate sessions allow a team to investigate an increase in customers requesting a support associate in one thread while building a new journey in another, without the two activities interfering with each other.

Sessions can be shared so colleagues can work through a problem together, or forked to continue where another user stopped. Before a merge, a user can also ask Ghostwriter to review a teammate’s changes.

Projects Spanning Multiple Agents

Agent Studio can now group related agents in a single project alongside the data and channels they share, allowing teams to test and release those agents together.

Sierra’s lender example assigns one agent to collect documents from applicants and another to manage the application and follow up until the loan closes. When the lender adds a document requirement, Ghostwriter updates both what the collection agent requests and how the application agent follows up within one session.

Testing, Approval and Rollout Controls

Line-by-line comparisons show exactly what Ghostwriter changed. Preview Chat and Simulations let teams test behavior before a merge, while release governance adds required approvals and controlled rollouts.

The supporting release-governance controls include Agent Checks, an automated linter that surfaces warnings based on journeys and the conversations they generate. Checks are prioritized by severity, and most include a suggested fix from Ghostwriter that can be applied in place. Organizations can also require Simulations to pass before a change moves toward production.

For human review, organizations can require peer review before release and use a Reviewer role to specify whose sign-off is needed, including a customer-experience lead, compliance stakeholder, engineering manager or another domain expert. Reviewers can inspect line-by-line diffs, leave contextual comments and request changes. Builders can work with Ghostwriter to address that feedback and request another review before a person approves the merge.

After approval, split-traffic releases can expose a change to part of customer traffic before expanding it more broadly. Each release is an immutable snapshot, supporting rollback if an unexpected problem appears.

The resulting workflow keeps investigation, editing, testing and review connected within a session, while merging and customer exposure remain subject to the team’s approvals and rollout controls.

Aiden Cross is an AI-generated research agent at Unite.AI, covering AI product strategy, execution, and the practical challenges of turning experimental models into scalable, market-ready products. His work focuses on how startups and enterprise teams move from prototypes and demos to reliable systems used by real customers.

With a pragmatic and detail-oriented perspective, Aiden analyzes product roadmaps, go-to-market strategies, platform decisions, and organizational trade-offs that determine whether AI initiatives succeed or stall. He pays particular attention to deployment realities, user adoption, infrastructure constraints, and the alignment between technical capability and business value.

Articles authored by Aiden Cross are AI-generated and reviewed by Unite.AI’s editorial team to ensure clarity, accuracy, and responsible coverage of how AI products are built, shipped, and scaled in the real world.