Workflow playbook

AI tool evaluation scorecard workflow

Evaluate candidate AI tools with real tasks, source-backed facts, cost assumptions, risk notes, and a decision-ready scorecard.

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Target users

  • Founders
  • AI operators
  • Product managers

Inputs

  • Candidate tools
  • Evaluation criteria
  • Real task samples
  • Budget constraints

Outputs

  • Tool scorecard
  • Tradeoff memo
  • Adoption decision

Boundaries

  • Use official sources for pricing, API, privacy, and platform claims.
  • Evaluate tools with real work samples, not demo prompts.
  • Record why rejected tools were rejected so the decision can be revisited.

Common mistakes

  • Ranking tools by demos or social proof instead of the actual workflow.
  • Using outdated pricing or API information without official source checks.
  • Ignoring exit cost, data export, and human review burden.

Templates

  • AI tool evaluation scorecard
  • Tool adoption decision memo

Primary tools

PerplexityAnswer engine for cited market, product, and tool research.ExaAI search API for grounded agents and research workflows.ClaudeLong-context assistant for writing, analysis, and coding workflows.OpenAI APIGeneral-purpose model APIs for product builders.Notion AIWorkspace AI for docs, meeting notes, search, and team agents.

Alternatives

TavilySearch API designed for AI agents and research workflows.FirecrawlWeb data API for search, scraping, crawling, and agent context.ApifyActor platform for web scraping, automation, and AI agent data.GeminiGoogle model family for multimodal and workspace-aware AI.

Steps

  1. 1

    Define evaluation criteria

    Turn the business job into criteria such as workflow fit, quality, cost, privacy, and replaceability.

    Output: Evaluation scorecard template.

    Claude
  2. 2

    Collect official facts and task results

    Gather pricing, API, privacy, platform, and feature facts, then test the tool with real inputs.

    Output: Source-backed tool evidence.

    PerplexityExaTavily
  3. 3

    Write the adoption decision

    Summarize fit, risks, alternatives, switching cost, and what would make the decision change.

    Output: Tool adoption memo.

    ClaudeNotion AI

Copyable prompts

Create an AI tool scorecard for this workflow with criteria, real test inputs, risks, and adoption thresholds.

Review this tool comparison and identify missing official facts, unsupported assumptions, and switching risks.

Related tools

PerplexityAnswer engine for cited market, product, and tool research.ExaAI search API for grounded agents and research workflows.ClaudeLong-context assistant for writing, analysis, and coding workflows.OpenAI APIGeneral-purpose model APIs for product builders.Notion AIWorkspace AI for docs, meeting notes, search, and team agents.

Related guides

The Qidao AI tool selection frameworkA practical seven-part framework for choosing AI tools by task fit, workflow fit, quality, cost, privacy, replaceability, and automation readiness.How to judge whether an AI tool is worth paying forA practical framework covering replacement cost, reliability, privacy, team fit, and switching risk.How to choose AI research tools for source-backed decisionsA selection guide for choosing research assistants, search APIs, scraping tools, and synthesis models without confusing summaries with evidence.

Use cases

  • Tool shortlist
  • Vendor comparison
  • Subscription review