AI Research & Report Writing Agent Kit

Price: ₹399 (one-time purchase)

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

Delivery: Instant download after payment is confirmed.

Category: AI Agents

Description

Build cited report outlines and syntheses from your own source notes. Every key claim cites a source id, and the agent says when sources are not enough. Cited report outlines and synthesis from your own source notes, with gaps stated plainly. Write report outlines and syntheses where every key claim cites one of your own source notes, and gaps are stated instead of guessed. Supply a research question and labelled notes, and the agent returns a section outline, a cited synthesis, key findings with confidence levels, source conflicts and a clear sufficient, partial or insufficient verdict. It is built for consultants, professionals, researchers and students who need traceable writing. Use the no-code prompt in any AI chat, or run the included Python agent and n8n webhook workflow with output validation and review rules. Who it's for Consultants, professionals, researchers and students who write reports from their own source notes. What it does • Report outline with each section mapped to the source ids that support it • Cited synthesis with an [S#] citation after every key claim, number or quote • Key findings with high, medium or low confidence based on source agreement • Source conflict list and evidence gap list with suggested source types • Sufficiency verdict that says clearly when your sources cannot answer the question • Review rules that force human review for partial or insufficient sources and source conflicts, plus a citation-check prompt Benefits • Go from scattered notes to a structured, cited draft much faster • Trace every claim in a client report or review back to its source • Know early whether you need more research before a deadline • Avoid confident but unsourced statements in professional work • Spend your time on judgement and editing, not sorting notes What's inside • 4 PDF guides (42 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 • A management consultant turns 12 client interview notes into a cited findings section for a steering committee deck. • A postgraduate student builds a literature review outline from summaries of 15 papers, with each point linked to its source id. • A policy analyst compares what three reports say about cold-chain capacity and lists where they disagree. • An internal audit lead drafts a short findings memo from process walkthrough notes and states which questions still lack evidence. • A market researcher checks whether supplied notes are enough to answer a client question before committing to a deadline. 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: Will it add facts from the internet or its own knowledge? A: No. It is designed to use only the source notes you supply. Anything the notes do not cover is listed in evidence_gaps, and sufficiency is set to partial or insufficient. Q: What happens if my sources disagree? A: The conflict is listed in source_conflicts with both source ids, and the result is flagged for human review so you can judge which source to trust. Q: Can I use it for a thesis or assignment? A: You can use it to organise and outline your own sources, but follow your institution's rules on AI use and verify every citation against the original. Q: How should I format source notes? A: Start each note with an id, title, type and date, for example 'S1 | Interview, store operator, Aug 2026 | notes'. A task prompt in the kit converts raw material into this format. Q: Does it write the final report for me? A: It produces a cited outline and synthesis draft. You edit, add your judgement and finalise the report yourself. 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 380 KB · Instant download

What's included

• 4 PDF guides — 42 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 380 KB

Frequently asked questions

Will it add facts from the internet or its own knowledge?

No. It is designed to use only the source notes you supply. Anything the notes do not cover is listed in evidence_gaps, and sufficiency is set to partial or insufficient.

How should I format my source notes?

Start each note with an id, title, type and date, for example 'S1 | Interview, store operator, Aug 2026 | notes'. A task prompt in the kit converts raw material into this format.

Does it write the final report for me?

It produces a cited outline and synthesis draft with key findings, confidence levels and source conflicts. You edit, add your judgement and finalise the report yourself.

Who is it for and how can I run it?

Consultants, professionals, researchers and students who write reports from their own notes. Three ways: paste the no-code prompt into ChatGPT, Claude or Gemini; run the Python agent on one file or a whole folder (Python 3.11+, nothing to install); or import the n8n workflow and call it from a form, sheet or app.

Tags: research report, cited writing, literature review, ai agent kit, consulting reports, source synthesis, report writing, research assistant, evidence gaps, students, n8n workflow