Multi-Agent Team Orchestrator Kit

Price: ₹499 (one-time purchase)

Format: ZIP (4 PDFs + Python agent + n8n workflow + prompts)

Delivery: Instant download after payment is confirmed.

Category: AI Agents

Description

Plan researcher, writer and reviewer AI agents with handoff checks, per-role budgets and a review checklist. Includes when not to use multi-agent. Plan researcher, writer and reviewer agents with handoffs, budgets and review checks. Plan a multi-agent run with clear roles, checked handoffs and a hard budget for every agent before you write orchestration code. Describe your task, inputs and spend limit, and the planner returns researcher, writer and reviewer steps, handoff contracts, a budget split with a retry reserve and a final review checklist. It is built for developers and automation consultants who already run a single agent. The kit generates and validates the plan; you build the roles. It also tells you honestly when a single agent or fixed pipeline would be cheaper and good enough. Who it's for Developers, automation consultants and AI builders who already run one working single agent. What it does • Structured plan with roles, per-role steps, dependencies and expected outputs • Handoff contracts with acceptance checks and a retry-once-then-stop rule • Per-role max steps, max tokens and USD budget with a retry reserve • Final review checklist tied to your quality bar and source files • Honest single-agent alternative and a clear flag when multi-agent is not needed • Python planner agent with 22 offline tests, n8n webhook workflow and failure-test prompts Benefits • Estimate the cost of a multi-agent run before you build it • Design hard limits for every role to stop runaway loops • Plan acceptance checks that catch wrong facts before they reach the final output • Avoid building complex systems for tasks one agent can handle • Start building with clear roles, handoffs and stop rules written down What's inside • 4 PDF guides (43 pages): Start Here, Build Guide, Prompt Pack, Testing, Security & Costs • Runnable Python agent (standard library only) with 22 automated tests, batch mode and cost limits • Importable n8n workflow with input validation and review rules • System prompt, a no-code prompt for any AI chat, and 6 task prompts (TXT + CSV) • 3 sample inputs, including a prompt-injection test • Editable Markdown sources, README, license and checksum manifest Three ways to use it 1. No-code: paste the prompt into ChatGPT, Claude or Gemini (5 minutes) 2. Python: run the agent on one file or a whole folder (Python 3.11+, nothing to install) 3. n8n: import the workflow and call it from a form, sheet or app Use cases • An automation consultant plans a researcher-writer-reviewer flow for a client's weekly market brief and shows the client the budget before building it. • A developer drafts a three-role plan for a slow single-agent report job and uses the plan's single-agent alternative to decide whether the split is worth building. • An AI builder designs handoff contracts so the reviewer receives the writer's draft plus the researcher's fact list with source ids. • A small agency sets hard per-role step and token limits so a runaway research loop stops the whole run cleanly. • A product team checks whether a proposed agent team is worth it, and gets a single-agent alternative when the task does not need several roles. Requirements • For the no-code route: any AI chat account • For the code route: Python 3.11 or newer • For real AI results: an Anthropic or OpenAI API key (paid per use) or a free local model with Ollama • Optional: n8n Cloud or self-hosted n8n Running costs The kit is a one-time payment. AI model usage is billed by your provider per use; the kit includes cost limits and a cost formula. Free options: the offline demo mode and local models via Ollama. Honest notes • The agent produces drafts and structured data. It never sends, posts, pays or changes records — a person reviews and acts. • Tested offline and in n8n against a local test server; live provider calls need your own key. • Results depend on your inputs and model. No income or results are promised. FAQs Q: Does this kit build and run a full multi-agent system for me? A: No. It gives you a planner that produces a structured orchestration plan in one model call, plus Python agent code, an n8n workflow and prompts to generate and validate that plan. You build, wire tools into and test the actual roles yourself. Q: When should I not use a multi-agent design? A: When one agent with good tools can do the job, when steps always run in the same order, when your budget is tight, or when you cannot yet test a single agent well. The planner tells you this and gives a single-agent alternative. Q: Which frameworks does it support? A: The kit's code is plain Python and only produces the plan. The plan format of roles, steps and handoffs can be mapped by you onto LangGraph, CrewAI, the OpenAI Agents SDK or similar tools. Q: How are costs controlled? A: The plan gives each role max_steps, max_tokens and a USD budget, with a retry reserve and a total stop rule, for you to enforce in the system you build. The kit itself caps each planner run with max_cost_usd_per_run in config.toml, which is only as accurate as the token prices you enter. Q: Can the agents publish or send the final output? A: No. The kit produces plans only. Any consequential action in the system you build should go through a single human approval step that you control. Want all 20 agent designs, a full course and a research agent? See the AI Agent Builder Master Kit on DigiCools. License: single-buyer license — use and modify for personal and commercial projects, including client work; no resale or redistribution. Version 1.0.0 · ZIP 386 KB · Instant download

What's included

• 4 PDF guides — 43 pages (Start Here, Build Guide, Prompt Pack, Testing, Security & Costs)
• Runnable Python agent — 22 automated tests, batch mode, cost limits
• Importable n8n workflow with validation and review rules
• 8 prompts — system, no-code (any AI chat) and 6 task prompts (TXT + CSV)
• 3 sample inputs incl. a prompt-injection test
• Editable sources, README, license, manifest · ZIP 386 KB

Frequently asked questions

Does this kit build and run a full multi-agent system for me?

No. It gives you a planner that produces a structured orchestration plan, plus Python agent code, an n8n workflow and prompts to generate and validate that plan. You build, wire tools into and test the actual roles yourself.

What is inside the ZIP?

4 PDF guides (43 pages), a runnable Python agent with 22 automated tests, batch mode and cost limits, an importable n8n workflow, 8 prompts (TXT + CSV), 3 sample inputs including a prompt-injection test, plus editable Markdown sources, README, license and checksum manifest.

Which frameworks and tools does it work with?

The kit's code is plain Python and only produces the plan. You can map its roles, steps and handoffs onto LangGraph, CrewAI, the OpenAI Agents SDK or similar tools. The no-code prompt works in ChatGPT, Claude or Gemini.

Who is it for and when should I not use multi-agent?

It is for developers, automation consultants and AI builders who already run one working single agent. Skip multi-agent when one agent with good tools can do the job, steps always run in the same order, or your budget is tight; the planner gives a single-agent alternative.

Tags: multi-agent, ai orchestration, ai agent kit, agent workflows, agent planning, llm budget, ai developers, automation consulting, n8n workflow, researcher writer reviewer