Build an AI Research Assistant with AI · Execution Map
Define & Scope
Clarify what you're building and for whom.
Design
Design the right solution before building.
Build & Refine
Build, test, secure, and make it production-ready.
Ship & Validate
Ship with confidence and validate results.
Step 1 of 7
Define the research assistant scope
A defined scope: the users, the questions, and what a good grounded answer is.
Phase
Define & Scope
Everything you need for this step
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Workflow
AI Product Requirements Workflow
Turn a fuzzy business need into requirements a team can build from — interrogate the need into concrete requirements, shape them as user stories, and write the PRD.
Resource
Product Requirements Assistant
Turn a rough feature idea into a structured requirement: problem statement, acceptance criteria, and what's explicitly out of scope.
Tool
System Prompt Generator
Build structured system prompts from role, tone, constraints, and model target.
Step 2 of 7
Organize the source corpus
A source corpus organized and packaged for the assistant to work from.
Phase
Design
Everything you need for this step
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Workflow
AI Long Document Analysis Workflow
Get AI to actually read a document that's too big for one prompt — fit it to the model, split it cleanly, package the parts, and analyze them without losing the thread.
Resource
Package Long Documents for AI — Delimiters and § Labels
Pasting a document raw mixes material with instructions. Package it: explicit delimiters, citable [§N] section labels, and grounding rules — the source travels verbatim.
Tool
Long Input Formatter
Package source material with delimiters, citable section labels, and grounding rules — material and instructions stay separate.
Step 3 of 7
Ground responses in source context
A grounding contract that anchors responses to the sources, with no invention.
Phase
Build & Refine
Everything you need for this step
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Workflow
AI RAG Context Workflow
Prepare documents for a RAG system so retrieved answers stay accurate — budget the chunk size to the model, ground the sources against drift, and split them on clean boundaries for retrieval.
Resource
Reduce AI Hallucinations with Grounding — the Strict Contract
The strongest anti-hallucination tool is structural: only the delimited source exists, gaps answer "The source does not say.", and uncited claims are forbidden.
Tool
Long Input Formatter
Package source material with delimiters, citable section labels, and grounding rules — material and instructions stay separate.
Step 4 of 7
Extract key facts, claims, and citations
Key facts and claims extracted, each tied to its source.
Phase
Build & Refine
Everything you need for this step
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Workflow
AI Data Extraction Workflow
Turn messy text into structured data you can trust enough to feed another system — bound the source, extract the fields, force clean JSON, and validate before it flows downstream.
Resource
Extract Data From Text with AI
Free text in, named fields out. The extraction prompt pattern that turns any unstructured text into consistent, parseable records.
Tool
Extraction Prompt Generator
Build prompts that extract defined fields from unstructured text — emails, invoices, tickets, résumés.
Step 5 of 7
Synthesize findings into research outputs
Synthesized findings that reconcile the sources, with conflicts and gaps named.
Phase
Build & Refine
Everything you need for this step
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Workflow
AI Research Synthesis Workflow
Pull a single coherent view out of a stack of sources — package them together, summarize each faithfully, then have AI synthesize across them instead of one at a time.
Resource
Research Synthesis Assistant
Extract and compare findings from multiple sources without collapsing them into a single blended perspective.
Tool
System Prompt Generator
Build structured system prompts from role, tone, constraints, and model target.
Step 6 of 7
Evaluate groundedness and hallucination
Findings checked for groundedness, with hallucinated claims caught.
Phase
Build & Refine
Everything you need for this step
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Workflow
AI Agent Evaluation Workflow
Find out whether an AI agent behaves before users do — define what correct means, build test scenarios with expected outputs, catch failures and hallucinations, then regression-test each version.
Resource
Hallucination Detection Prompt
Catch the confident invention — check an AI output's claims against its source and flag every statement that isn't supported, with the unsupported span quoted.
Tool
AI Output Validator
Paste an AI's output and validate it against the expected format — with a repair prompt for every failure found.
Step 7 of 7
Validate and prepare for use
The assistant validated against its success signal and readied for use.
Phase
Ship & Validate
Everything you need for this step
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Workflow
AI Product Validation Workflow
Find out whether the thing you shipped actually worked — define the success metric, plan the measurement, classify the real evidence, then render a verdict and an iterate / pivot / scale decision.
Resource
Product Validation Report Prompt
Consolidate the whole validation into one shareable report — the success metric, the evidence, the hit / partial / miss verdict, and the iterate / pivot / scale decision, in a form the team and stakeholders can act on.
Tool
Markdown Output Builder
Build prompts that produce documents in a fixed structure — headings, sections, and tables.