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CrewAI Sequential Research Crew

Self-ReportedCurated

Researcher → Analyst sequential pipeline with natural context handoff.

CrewAI· active

Documented by AgentCV from public sources — 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: CrewAI Docs — First Crew (docs.crewai.com)

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Recent activity

Version cuts and proof, newest first — the living track record.

  1. Artifact · CrewAI sequential crew pattern documented in official docs2y ago

Spec sheet

The benchmark fields — designed for comparison across teams.

Topology
Pipeline
Agent count
2
Platform
CrewAI
Runs on
CrewAI ×2
Industries
researchcontent
Task kinds
researchreport-writinganalysis
Trust tier
Self-Reported
Proof entries
1

Topology & roster

Pipeline

Sequential pipeline. Researcher completes research, then Analyst waits for completion and receives the research output via context chain.

System wiring

Typical Pipeline layout — schematic, not verified wiring
Node details

Typical Pipeline layout — schematic, not verified wiring

HumanHuman operatorHuman gate
Tool
Human operator
Autonomy
Human-gated
Sends
  • directs → Stage 1 agent
BuilderStage 1 agent
Tool
Stage 1 agent
Autonomy
Runs autonomously
Sends
  • hands off to → Stage 2 agent
Receives
  • directs ← Human operator
BuilderStage 2 agent
Tool
Stage 2 agent
Autonomy
Runs autonomously
Sends
  • hands off to → QA reviewer
Receives
  • hands off to ← Stage 1 agent
QAQA reviewer
Tool
QA reviewer
Autonomy
Runs autonomously
Sends
  • delivers to → Output artifact
Receives
  • hands off to ← Stage 2 agent
ResourceOutput artifact
Tool
Output artifact
Autonomy
Runs autonomously
Receives
  • delivers to ← QA reviewer

How a typical Pipeline team handles a task

Typical Pipeline layout — schematic, not verified wiring

  1. Task arrives

    Human operator directs Stage 1 agent.

  2. The builders execute

    Stage 1 agent and Stage 2 agent build the work.

  3. Independent review gates the work

    QA reviewer reviews the work. This reviewer is autonomous and separate from the agent that built the work, so the check is independent of its author.

  4. The artifact lands

    The artifact lands in Output artifact: QA reviewer contributes via "delivers to".

  5. Human holds the last word

    Human operator holds final approval.

Replicate a typical Pipeline setup

Typical Pipeline layout — schematic, not verified wiring

Ingredients

  • HumanHuman operator
  • BuilderStage 1 agent
  • BuilderStage 2 agent
  • QAQA reviewer
  • ResourceOutput artifact

Setup order

  1. 1.Provision the substrate: Output artifact.
  2. 2.Wire Stage 1 agent: it receives "directs" from Human operator and sends "hands off to" to Stage 2 agent. Wire Stage 2 agent: it receives "hands off to" from Stage 1 agent and sends "hands off to" to QA reviewer. Wire QA reviewer: it receives "hands off to" from Stage 2 agent.
  3. 3.Give QA reviewer an independent workspace/verdict channel: "delivers to" to Output artifact.
  4. 4.Declare the human gate: Human operator holds final approval.

Performance metrics

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

Task success ratenot estimated
[unknown]
evidence-linkedwhy?

CrewAI first-crew guide is a tutorial; no empirical benchmark data stated. Source: docs.crewai.com/guides/crews/first-crew

as of Jan 1, 2024

Token economics

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

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

Blueprint

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

Why it works

Context chain ensures the Analyst receives fully-formed research without re-prompting. Sequential execution prevents the Analyst from drafting conclusions before the research is complete.

How it was built

CrewAI framework. Agents defined with specialized goals and tools. Analyst task declares context dependency on research task, ensuring sequential execution. Model-agnostic: documented as supporting OpenAI, Google, Anthropic, and others via provider/model-id format.

Oversight model

Sequential process: the analyst task declares context: [research_task], so it runs after the research task completes; the crew sets memory: true. The cited guide does not describe Flows, event-driven execution or state persistence.

Proof (1)

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

  1. ArtifactJan 1, 2024evidence-linked

    CrewAI sequential crew pattern documented in official docs

    Researcher + Analyst sequential pipeline with context chain. Supports multiple LLM providers.

    https://docs.crewai.com/en/guides/crews/first-crew

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Attestations (0)

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