BlokNotesBeta

Research that moves from links to conclusions

Real research is more than a folder of bookmarks. BlokNotes gives investigations a structure: a research project with a question and scope, sources you collect and rate, and findings you extract, challenge and confirm.

Whether you are evaluating vendors, reviewing literature or making a buying decision, the workflow is the same: collect, review, synthesize, conclude — with the AI assistant doing the heavy reading when you want it to.

At a glance

What you get

  • Research projects with question, scope and audience
  • Modes: general, technical, academic, buying
  • Status flow: collecting → reviewing → synthesizing → complete
  • Sources with credibility ratings
  • Findings: facts, insights, recommendations, questions
  • Confidence levels per finding
  • AI-proposed findings you confirm or reject
  • Desired output: brief, comprehensive or recommendation

Frame the question before you drown in tabs

Each research project starts with the question, the scope and who the answer is for. Choose a mode — general, technical, academic or buying research — and the desired output, from a short brief to a full recommendation.

Sources with a paper trail

Collect web pages, documents and manual notes as sources. Each one carries a status (new, reviewed, archived), a credibility rating and your researcher notes — so 'where did this claim come from?' always has an answer.

  • Credibility ratings: unknown, medium, high
  • Summaries and notes per source
  • Review status so you know what is left to read

Findings, not vibes

Extract findings from sources and classify them: fact, insight, recommendation or open question — each with a confidence level. Findings can be proposed by the AI assistant and confirmed or rejected by you, keeping judgment human.

  • Typed findings with confidence levels
  • Proposed → confirmed → rejected review flow
  • Every finding links back to its source

From findings to a deliverable

Move the project to synthesizing, pull confirmed findings together, and write the conclusion in a connected note — citing sources that are one click away. Export to PDF when it is time to share.

FAQ

Questions about research hub

Who is the research hub for?

Anyone who has to turn many sources into one defensible answer: analysts, consultants, students, founders doing market research, or teams making a build-vs-buy decision.

How does AI help with research?

The assistant can summarize sources and propose findings with suggested types and confidence levels. Every AI proposal stays in 'proposed' state until you confirm or reject it.

Can I cite where a finding came from?

Yes — findings link back to their source records, which carry the original URL or document plus your credibility rating and notes.

Put research hub to work today

Free during the public beta — every feature, no usage limits, no credit card.