Clarity in.
Confidence out.
The workspace where messy thinking becomes actionable specs, architecture decisions, and implementation plans — long before anyone writes code.
Watch an idea become an executable plan:
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The input problem
AI can draft your docs, generate your code, summarize your meetings. The output problem is solved.
The bottleneck is now the input—the quality of your thinking. It's not more output; it's structured reasoning: what you feed the machine, what you tell your team, what you actually mean.
Esono is where you do that work—before you commit code, budget, or team time.
Read our design philosophy
Sound familiar?
The Problem
Stakeholders want "better onboarding" but no one can define what that means. You're stuck in Slack threads and vague Notion docs.
The Solution
Map the current flow, identify friction points, define success metrics. Turn "better" into a scoped spec with clear outcomes and Linear tickets ready to ship.
The Problem
You have 20 feature requests and no clear way to prioritize. Everything feels urgent. You can't articulate why X should come before Y.
The Solution
Visualize impact vs. effort, map dependencies, write the rationale for sequencing. Present to stakeholders with confidence: "Here's why we're building X first."
The Problem
You write a spec, share it with the team, and get flooded with questions you didn't anticipate. Back to the drawing board.
The Solution
AI surfaces edge cases before you share: "What if the user...?" "How does this scale?" Your spec answers questions before they're asked.
Four Tools. One Workspace.
Start messy. Reveal what matters. Ship with conviction.
Whiteboard
Dump threads, feedback, and user flows onto an infinite canvas—no structure required. Just get it out of your head.
Documents
Turn the messy map into a rigid spec without the busywork. The editor pulls context from your canvas, so you draft faster with zero copy-pasting.
AI Assistant
Don’t just generate text—let the AI challenge you. It interrogates assumptions, surfaces edge cases, and asks the questions you’re avoiding. It's a thinking partner, not a chatbot.
Workflow Syncs
Push fully contextualized specs into Linear—not just tasks. Engineers inherit the “why” behind decisions, so nothing is lost in translation.
How it works
Dump the context.
Paste the CEO's 'we need better onboarding' Slack message, support tickets about drop-off, the designer's flow mockup, engineering constraints. The mess is your starting point.
Interrogate with AI.
AI challenges you: 'What does better mean? What's the success metric? What if a user signs up but never completes step 2? What are you optimizing for—speed or completion rate?'
Structure the plan.
Map the current onboarding flow in Canvas. Identify three friction points. Define success as '70% completion in first session.' Write the spec in Editor with rationale for each change.
Ship with confidence.
Push to Linear: three tickets with clear requirements, success metrics baked in, edge cases documented. Present to stakeholders knowing exactly what you're building and why.
Why it's different
Not a dumping ground. A shaping ground.
Notes apps let you collect. Esono helps you decide.
Not templates-first. Understanding-first.
Structure emerges from your thinking—not someone else's framework.
Not a chat window. A thinking partner.
A system that interrogates your ideas, not one that just completes your sentences.
Not isolated docs. Connected reasoning.
Words, diagrams, dialogue, and integrations in one place—so you can return, revise, and build on what you've already figured out.
Built for builders who think before they ship
You build products, systems, or stories—and you hate shipping on fuzzy thinking
You want AI to ask better questions, not just give you answers
You architect, direct, or decide—rather than just execute
You respect the messy middle as the source of real value
If you already have perfect clarity and just need execution speed, you probably don't need this.
Esono is for the gap between "I have an idea" and "I know exactly what I'm building."
When to use Esono
Before writing a PRD
Before scoping an MVP
Before a stakeholder presentation
Before committing to a technical architecture
After user research (to synthesize findings)
When you're stuck and don't know what to build next
When 'better X' needs to become a concrete plan
When you need to align scattered feedback into one coherent direction
Ready to achieve clarity?
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