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AI Agent Orchestration with Human Approval

Coordinate specialized agents, deterministic steps, reviews, retries, and human decisions without losing the project context or the execution trail.

Governed multi-agent pipeline
01

Input

Start from a card, document, trigger, or explicit mission.

02

Specialize

Assign focused steps to the right agent or deterministic tool.

03

Coordinate

Sequence dependencies or run independent work in parallel.

04

Review

Add correction loops, quality checks, and readable failures.

Verified output

Result, sources, and state return to the card.

Human approval

Protected actions wait for the right decision.

Turn several agents into one accountable workflow

A pipeline defines who acts, what each step receives, when work can continue, and where a person must decide.

  1. 01

    Input

    Start from a card, document, trigger, or explicit mission.

  2. 02

    Specialize

    Assign focused steps to the right agent or deterministic tool.

  3. 03

    Coordinate

    Sequence dependencies or run independent work in parallel.

  4. 04

    Review

    Add correction loops, quality checks, and readable failures.

  5. 05

    Approve

    Pause consequential changes until the right person decides.

Mission STL-128

Start from a card, document, trigger, or explicit mission.

Running

Checklist

Specialize
Coordinate
Review

Linked context

project-brief.md

Separate planning, production, review, and decision responsibilities instead of using one oversized prompt.

Run mission

Orchestration includes control, not only routing

A production workflow needs project context, identities, tool boundaries, stop conditions, retries, approvals, and a result that returns to the source of truth.

Specialized roles

Separate planning, production, review, and decision responsibilities instead of using one oversized prompt.

Visible pipeline runs

Follow the current step, prior outputs, failures, review decisions, and final state from the project.

Human gates

Insert explicit approval before sensitive actions, external publication, or irreversible changes.

A control for each risk level

ActionHumanSupervisedApproval
Read and analyzeOptionalAutomaticAutomatic
Generate a draftReviewAutomaticProposal
Change project stateDecisionBy policyProposal
External or sensitive actionRequiredProtectedRequired

Use deterministic structure around probabilistic work

Agents are useful when a step requires interpretation. Pipelines remain useful for ordering, dependencies, routing, retries, and stop conditions.

Combining the two prevents every workflow decision from being delegated to a model. The agent handles the ambiguous part while the pipeline preserves the operating contract.

Return every result to the project

An orchestration is incomplete if its output stays in a terminal, an automation log, or a private chat. The result, failure, or approval must update the card and remain readable to the team.

That closed loop makes the next mission start from current project state instead of reconstructed context.

Manual multi-agent work or governed orchestration?

Handoffs

Manual coordination

Copy output between chats and tools.

Stellary orchestration

Pass structured outputs through pipeline steps.

Dependencies

Manual coordination

Remember what must finish first.

Stellary orchestration

Encode sequence, branches, and validation.

Failures

Manual coordination

Discover missing output late.

Stellary orchestration

Keep failed runs and stop conditions visible.

Approval

Manual coordination

Ask for review in another channel.

Stellary orchestration

Pause the workflow at an explicit human gate.

Questions about AI agent orchestration

What is AI agent orchestration?

AI agent orchestration coordinates agents, tools, context, dependencies, and decisions so a multi-step objective can be executed as one controlled workflow.

Do all pipeline steps need an AI agent?

No. Use deterministic steps for predictable transformations, routing, and checks. Use agents where interpretation, generation, or adaptive tool use is valuable.

Can several agents work on the same project?

Yes. Agents can have different roles, tools, rules, models, and project assignments. Pipelines can sequence or coordinate their contributions around one card or project outcome.

Where should human approval be required?

Require it before irreversible, external, financial, security-sensitive, compliance-related, or broadly scoped changes. Routine reversible work can use supervised execution after validation.

Orchestrate one workflow you can verify

Start with a short sequence, one review step, and one explicit approval gate.

Create a Stellary project