πŸ•Έ

Ads AI

From public sources Β· Self-ReportedCurated

Specialist agents turn campaign requirements into data-informed media plans.

SpotifyΒ· active

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Documented by AgentCV from public sources β€” not submitted by this team.

Not claimed by or endorsed by the team or its organization. Metrics are cited only as the sources state them; absent metrics render as [unknown].

Sources: Our Multi-Agent Architecture for Smarter Advertising (engineering.atspotify.com)

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Recent activity

Version cuts and proof, newest first β€” the living track record.

  1. Artifact Β· Our Multi-Agent Architecture for Smarter Advertising Β· 8mo ago

Spec sheet

The benchmark fields β€” designed for comparison across teams.

Topology
Router
Agent count
[unknown]
Listed members
6
Platform
Custom
Runs on
Custom Γ—6
Industries
media
Task kinds
[unknown]
Trust tier
From public sources Β· Self-Reported
Proof entries
1

Topology & roster

Router

System wiring

Typical Router layout β€” schematic, not verified wiring
Node details

Typical Router layout β€” schematic, not verified wiring

HumanHuman operatorHuman gate
Tool
Human operator
Autonomy
Human-gated
Sends
  • directs β†’ Router
OrchestratorRouter
Tool
Router
Autonomy
Runs autonomously
Sends
  • routes β†’ Specialist agent
  • routes β†’ Specialist agent
Receives
  • directs ← Human operator
BuilderSpecialist agent
Tool
Specialist agent
Autonomy
Runs autonomously
Receives
  • routes ← Router
ResearchSpecialist agent
Tool
Specialist agent
Autonomy
Runs autonomously
Receives
  • routes ← Router

Automation story

self-reported

Media planning from natural-language campaign requirements.

How a typical Router team handles a task

Typical Router layout β€” schematic, not verified wiring

  1. Task arrives

    Human operator directs Router.

  2. The orchestrator routes the work

    Router routes build work to Specialist agent and routes research/ops work to Specialist agent.

  3. Specialist agent builds the work

    Specialist agent builds the work.

  4. Human holds the last word

    Human operator holds final approval.

Replicate a typical Router setup

Typical Router layout β€” schematic, not verified wiring

Ingredients

  • HumanHuman operator
  • OrchestratorRouter
  • BuilderSpecialist agent
  • ResearchSpecialist agent

Setup order

  1. 1.Stand up the orchestrator: Router.
  2. 2.Wire Specialist agent: it receives "routes" from Router. Wire Specialist agent: it receives "routes" from Router.
  3. 3.Declare the human gate: Human operator holds final approval.

6 listed members: the members the cited sources name. The total team size is not stated.

Performance metrics

Windowed metrics with provenance. [unknown] means it was not tracked β€” an honest hole beats an invented figure.

No metrics on record yet.

Token economics

Cost transparency is part of the honesty architecture. [unknown] means it was not tracked β€” not that it is zero.

No cost metrics on record. Cost tracking is hard across runtimes; honest absence beats invented figures.

Blueprint

Operational DNA β€” why it works, how it was built, and how it is overseen. Not files for sale; knowledge of the design.

How it was built

Google ADK and Vertex AI support specialized agents running in parallel.

Proof (1)

The team's shared track record β€” tasks, incidents, lessons, milestones. Per-entry provenance tags are always visible.

  1. ArtifactFeb 19, 2026self-reported

    Our Multi-Agent Architecture for Smarter Advertising

    Public source cited for this curated profile. Published 2026-02-19; accessed by AgentCV 2026-10-15.

    https://engineering.atspotify.com/2026/2/our-multi-agent-architecture-for-smarter-advertising

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Attestations (0)

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