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[ AI tools · Frameworks and platforms ]

CrewAI: A Team of Agents, Each With One Job

CrewAI lets you describe agents by role, goal and tools, then has them work together on a task. We use it to prototype multi-agent workflows quickly in Python, and its Flows when steps must run in a fixed, auditable order.

Design Your CrewCrews or Flows?
  1. Agent 01ResearcherFinds recent news and filings on the accountsearch_web, read_filings
  2. Agent 02AnalystTurns findings into three buying signalssummarize, score
  3. Agent 03WriterDrafts a short outreach email in the rep's voicedraft_email
  4. Agent 04ReviewerChecks facts and tone before it reaches the repcheck_claims

Crew finished: account brief and draft email ready for the rep. Example crew.

Inside One CrewAI Agent

CrewAI is an open-source Python framework with a large community, plus a commercial platform for building, deploying and monitoring crews. Every crew is built from agents like this one.

agents.yamlAgent
role:
Market researcher
goal:
Find three competitors' current pricing
backstory:
Ten years in B2B pricing analysis
tools:
web_search, read_pdf
llm:
any provider

Example agent definition, simplified.

[ Example crews ]

Five Crews We Are Asked to Build

Each crew is a handful of focused agents. Small crews are cheaper, faster and easier to test than one agent that does everything.

  • 01Sales research crewAccount briefs and first drafts for reps before each call.ResearcherAnalystWriter
  • 02Content crewArticles from a brief, edited and checked against guidelines.PlannerWriterEditorSEO checker
  • 03Support triage crewTickets categorized, simple ones answered, hard ones routed.ClassifierResolverEscalator
  • 04Due diligence crewPublic information on a company gathered and summarized with risks.CollectorAnalystRisk reviewer
  • 05Recruiting crewCandidates matched to a role and interviews proposed.SourcerScreenerScheduler
[ Crews or Flows ]

Let Agents Collaborate, or Script Exactly What Happens

Crews

Autonomous collaboration

Agents decide how to work together within their roles. Best for open-ended research, writing and analysis.

Film crew working together around cameras and lights on a set

Flows

Deterministic control

Code decides the order, with state and branching; crews can run inside individual steps. Best when audits need the same path every time.

[ Fit ]

When We Reach for CrewAI, and When We Do Not

We use several agent frameworks. CrewAI wins on speed to a working multi-agent prototype.

  1. Good fit

    Multi-agent prototypes in days, in Python

    Roles, tasks and a crew are a few lines each, so a working prototype comes together fast.

  2. Good fit

    Work that maps naturally to roles

    Researcher, writer and reviewer style jobs fit the crew model without forcing it.

  3. Good fit

    Research, writing and analysis tasks

    Crews are at their best on knowledge work where each role checks the last.

  4. Good fit

    Teams that want a managed platform later

    CrewAI's enterprise platform can host, monitor and govern the crews you built.

  5. Better: LangGraph

    Long runs that pause for days for approval

    Durable checkpoints and resumable interrupts are LangGraph's strength.

  6. Better: OpenAI Agents SDK or Mastra

    TypeScript products

    A TypeScript-first framework keeps the agent in the same language as the app.

  7. Better: Google ADK

    Agents on Google Cloud with built-in evals

    ADK ships evaluation and Google Cloud deployment out of the box.

  8. Better: a provider SDK

    One agent with a few tools

    No crew is needed; a provider SDK is less to maintain.

[ From prototype to production ]

What We Add Before a Crew Goes Live

  • Limits

    Maximum iterations, time and tokens per run, so a crew cannot loop forever.

  • Tracing

    Every agent step traced in Langfuse or a similar tool, with cost per run.

  • Tests

    Saved inputs with expected outputs, run on every change to roles or prompts.

  • Human review

    A person approves anything that leaves the company, such as emails or reports.

The Crew Menu

Pick one line. Most clients start with a prototype, then put the crew that works into production.

Plan Your Crew

Sajal Tech · CrewAI

  1. 01 Rapid Prototype$2,500 to $5,000

    A working multi-agent prototype of your workflow, to show stakeholders.

    4 to 7 daysdetails →

  2. 02 AI Agent Integration$4,000 to $6,000

    One production crew or flow connected to your tools, with limits and tracing.

    1 to 2 weeksdetails →

  3. 03 Multi-crew systemFrom $8,000

    Several crews inside Flows, with memory, evaluations, approvals and monitoring.

    Typically five to ten weeksscoped on a call

Packages from $1,500; custom projects from $8,000. Model usage billed by your provider.

CrewAI Questions

[ Other agent frameworks and tools ]

[ Contact ]

Let's build your next product together

Book a free strategy call and leave with a clear plan and estimate. No commitment.

  1. 01Pick a time that suits you
  2. 0230 minutes on scope, stack, timeline and budget
  3. 03Fixed-price proposal, NDA on request
Prefer email? contact@sajaltech.com