Who should use the Visual Research and Synthesis workflow?
Teams or solo builders working on research & analysis tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Research & Analysis
Leverage Scrintal's infinite canvas and AI assistant Gobu to collect, analyze, and synthesize research materials into structured insights.
Deliverable outcome
Final deliverable is packaged and ready to publish or integrate.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
Final deliverable is packaged and ready to publish or integrate.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use Scrintal to inputs and setup are ready for the core execution step. Then, you pass the output to Scrintal to supporting assets are prepared and connected to the main pipeline. Finally, Scrintal is used to final deliverable is packaged and ready to publish or integrate.
Analyze Research Documents with AI
Inputs and setup are ready for the core execution step.
Organize Knowledge Visually on Canvas
Supporting assets are prepared and connected to the main pipeline.
Collaborate and Synthesize into Documents
Final deliverable is packaged and ready to publish or integrate.
Use Gobu AI to deeply analyze articles, papers, and reports, extracting summaries and key insights.
Analyze Research Documents with AI sets up the inputs needed for stable execution.
Inputs and setup are ready for the core execution step.
Place analyzed content blocks on an infinite canvas, connect them with arrows and bi-directional links to build a knowledge graph.
Supporting inputs from this step improve quality and reduce rework later in the workflow.
Supporting assets are prepared and connected to the main pipeline.
Work with team members in real-time on the canvas, then convert blocks into structured documents for polished output.
Delivery turns intermediate output into a usable result for real users or channels.
Final deliverable is packaged and ready to publish or integrate.
§ Before you start
Teams or solo builders working on research & analysis tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
§ Related
End-to-end workflow to monitor data pipelines, detect anomalies, define quality rules, and generate executive trust metrics using DQLabs' AI-native platform.
A workflow to discover academic literature by exploring citation networks using Inciteful, identify seminal works and emerging fronts, and compile a literature review starting point.