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P9 AI Fluency Index vs Speech To Markdown: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of P9 AI Fluency Index and Speech To Markdown — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

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P9 AI Fluency Index

Point Nine

Free

Free 12-minute diagnostic that grades a company's AI fluency on a 0–100 scale and recommends three next moves.

Key features

  • Quick Diagnostic: A 12-minute online questionnaire composed of nine focused questions across six dimensions, enabling rapid assessment of organizational AI fluency.
  • Rubric-Based Scoring: Converts individual 0–5 question responses into a normalized 0–100 composite score using rubrics sourced from Zapier, Fin, Shopify, Ramp, and Jobber for reliable benchmarking.
  • Actionable Recommendations: Produces three prioritized next-move recommendations tailored to the company’s overall score and dimension-specific weaknesses to guide immediate action.
  • Dimension-Level Insights: Breaks down results by six distinct dimensions (e.g., data practices, tooling, workflows) so teams can pinpoint specific strengths and gaps.
  • Founder/Operator Focus: Questions and output are framed for founders and operators, making results directly applicable to strategic and operational decision-making.
  • Benchmarking Context: Positions a company’s score relative to industry rubrics and best practices to help prioritize investments and initiatives.
  • Free Web Access: Fully web-based, no-cost diagnostic that delivers instant results and recommendations for easy sharing and iterative assessments.
  • 12-minute web-based diagnostic
  • Nine questions covering six dimensions
  • Per-question scoring on a 0–5 scale
  • Aggregate fluency score normalized to a 0–100 scale
  • Three personalized recommended next moves based on results
  • Rubric-grounded evaluation using published benchmarks (Zapier, Fin, Shopify, Ramp, Jobber)
  • Targeted at founders and operators for organizational assessment

Best for

  • Early-stage readiness: Founders use the diagnostic to determine whether they are ready to integrate AI into product roadmaps and which hires or capabilities to prioritize.
  • Investor diligence and support: VCs and angel investors benchmark portfolio companies’ AI fluency to identify where to provide operational support or follow-on investment.
  • Roadmap prioritization: Product and engineering teams identify the highest-impact AI initiatives by focusing on dimension-level gaps highlighted in the report.
  • Leadership alignment: Operators present the assessment results to leadership teams to create consensus on infrastructure, data, and process improvements needed for AI adoption.
  • Progress tracking: Teams retake the assessment periodically to measure improvements in AI fluency and validate the impact of implemented changes.
  • Vendor and partner selection: Organizations use dimension insights to choose tools or partners that directly address their most critical capability gaps.
  • Founders assessing their company's readiness and fluency with AI-related practices
  • Operators benchmarking organizational AI maturity against published rubrics
  • Prioritizing next-step actions to improve AI adoption and capability
  • Quick self-assessment for startup leadership to inform strategy and investment
View P9 AI Fluency Index details
Speech To Markdown logo

Speech To Markdown

xajik

Free

Free, 100% local macOS menu-bar app that turns speech into structured markdown using whisper.cpp and any local LLM.

Key features

  • 100% Local Pipeline: Runs whisper.cpp for speech-to-text and any local LLM server for structuring — no cloud calls and no API keys required.
  • Global Dictation Hotkey: Press ⌘⌥] in any app to have the transcript typed straight at your cursor, works in Terminal, browser, Slack, and more.
  • Agent Mode Live Structuring: A floating capsule streams your voice through the LLM into a real-time Markdown, plain text, or HTML document.
  • One-Line Install: A single curl-piped script installs xcodegen, whisper-cpp, and ffmpeg via Homebrew, then builds the app from source into /Applications.
  • iOS Companion: A fully offline iPhone/iPad app that uses Apple Intelligence on iOS 26+ (iPhone 15 Pro and up).
  • Multiple Output Formats: Format, edit, or append the LLM output as Markdown, plain text, or HTML from a single control panel.
  • Send-Now Flush: The Send (⏎) control flushes the current buffer to the LLM immediately instead of waiting for the pause/word-count threshold.
  • Model Picker: Download and swap Whisper models from Settings — Base (~150 MB) is a good starting point.

Best for

  • Private Meeting Notes: Dictate meeting recaps on a Mac with sensitive content that must never leave the device.
  • Voice-Driven Coding Comments: Speak function docstrings or PR descriptions into your editor at the cursor via Global Dictation.
  • Structured Journaling: Use Agent Mode to ramble freely and get a clean, headed Markdown document out in real time.
  • Offline Field Notes on iOS: Capture voice notes on an iPhone with no signal, structured into markdown using on-device Apple Intelligence.
  • Slack / Email Long-Form: Dictate long replies straight into Slack or Mail without opening a separate transcription tool.
View Speech To Markdown details