My free passion project to rethink product management.

Bonzaii is my free, non-commercial experiment in an AI-native product workspace: I'm testing what happens when features, product knowledge, discovery, planning and delivery live together, so AI can read the whole picture and help decide what to build next.

Romaric Delahaie, product manager and creator of Bonzaii

Built and shared for free by Romaric Delahaie, product manager with 7 years of experience.

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Problem 01

AI made building faster. BUT IN MY WORK, PRODUCT DIDN'T SPEED UP.

In the teams I worked with, implementation sped up. Discovery, alignment, documentation and decisions didn't.

Problem 02

Every product tool I've used talks about features. But none gave them a home.

Everything I knew about a feature ended up spread across different tools.

Problem 03

My product knowledge was everywhere. So finding anything took forever.

I kept seeing the same notes, feedback and tickets copied into several tools, drifting apart and never lining up again.

I started wondering if it could work differently.

Bonzaii logo

Meet Bonzaii.

My attempt at one connected product brain. A free, open experiment: try it, and tell me what works and what doesn't.

From the pain points I lived to the system I'm testing.

01

Bring your product knowledge together.

First idea: research, insights, problems, KPIs, tasks and journeys gather into one organised place. Your AI builder sends updates in, so nothing new gets left behind.

Connection with MCP established
Mapping your product0%

02

Organise everything around your features.

My bet: features should be the organising unit. Everything in your library links to the feature it belongs to, and every feature gets its own Feature Hub.

Checkout
LiveCore3 solutions
InsightUser needProblemResearchKPISolutionTaskJourney

03

Rethink the tools you work in.

Once the product data is connected, I think the way a team works with it can change too. I'm exploring new surfaces on top of it for features, prioritisation, quarters and ideas, to see which pain points really go away.

Checkout
LiveCore3 solutions
InsightUser needProblemResearchKPISolutionTaskJourney
Visualise
Discovery
Planning
Delivery
Connection with MCP established
Mapping your product0%
Visualise

A Feature Hub for every feature.

A Feature Tree kept up to date through your AI builder connection or by your team. Open any feature to see its behaviour, evidence, solutions, tasks, KPIs and impact in one place.

Visualise

A Feature Hub for every feature.

A Feature Tree kept up to date through your AI builder connection or by your team. Open any feature to see its behaviour, evidence, solutions, tasks, KPIs and impact in one place.

Feature Tree

Product
Accounts
Checkout
Search
One-tap ordering
New solution

Feature Hub · Checkout

3 studies1 solution1 task
Behaviour

Orders complete in one tap

Evidence

Checkout friction · 3 studies

opportunity icon
Solutions

One-tap ordering · planned

Tasks

Order verification

KPIs

Checkout completion

Impact

Feature impact · Core

Discovery

Find connections in your evidence.

Research, insights and problems group into connected evidence. Bonzaii suggests patterns worth a look. You decide what becomes a Discovery.

Evidence

Research

Insights

Problems

Solutions

Evidence · Checkout friction

Turn into a Discovery
ResearchBasket survey
ResearchCheckout interviews
ResearchSession recordings
InsightMobile comes first
InsightTrust matters
InsightToo many checkout steps
ProblemCheckout drop-off
ProblemUnclear delivery dates
ProblemSlow account setup
SolutionDelivery preview
SolutionOne-tap ordering
SolutionGuest checkout
Planning

Plan quarters using real product items.

Drag real solutions from the backlog into a quarter, with objectives and KPIs linked and progress tracked as work lands.

Backlog

Quarter 1

ObjectiveKPI

Quarter 2

ObjectiveKPI
One-tap orderingImpact 86Effort 3
Guest checkoutImpact 78Effort 3
Checkout frictionImpact 64Effort 2
#1Saved addressesImpact 78Effort 3
Delivery

Track delivery by feature readiness.

I always wanted tasks grouped by the feature they serve, not by ticket. Here, design, build, decisions and launch sit together per feature, so you can deliver several features, discoveries and improvements at once without chasing tickets that aren't tied to a real feature.

Feature readiness

DesignBuildDecisionsLaunchReadiness
Checkout1 openBlocked
SearchReady
AccountsReady
ReportsReady
Build task · CheckoutVerify one-tap ordering

Confirm the order succeeds before showing completion.

Mark complete

And more tools I'm experimenting with.

04

Could every team work from the same page?

This is the part I'm most curious about: marketing, support, product, engineering and stakeholders working from one live source of truth, each adding their own work in the same place instead of waiting on handovers. If everyone can see how a feature works and where it sits, I believe GTM and sales knowledge improve with it.

Product
Support
Engineering
Marketing
Stakeholder
Design task assigned to Maya · Checkout flow
Leo commented on Solution O-012: “Feasible if we reuse the orders API.”
Launch task still open · Readiness: Blocked
Release R-004 moved to Shipped
Reuse the orders API?
Ship it Friday!

05

AI that works from your whole product.

AI is built into every tool and every stage, from discovery to delivery. It works from your whole product: its structure, research, features and how they connect. I'm testing whether that gives better help than a standalone chat.

What I'm aiming for: a product team's power house.

The idea I'm testing: work smarter, deliver better and ship faster when AI has connected context at every stage.

DiscoverDiscoverResearch, insights and problems live in one library, linked to the features they affect.
  • Research and insights library
  • Discovery pipeline from idea to validated problem
  • AI evidence patterns across your library
PrioritisePrioritiseRank what matters with evidence, impact and effort side by side.
  • Prioritisation lists with weighted scoring
  • AI-ranked backlog
  • What-if comparisons before you commit
PlanPlanShape each quarter around objectives and KPIs your team agreed on.
  • Quarter plans and objectives
  • KPI framework linked to features
  • AI review of strategic alignment
DeliverDeliverTrack every release by feature readiness, with tasks for every team.
  • Release hubs and readiness matrix
  • Embedded tasks for every team
  • AI builder updates features as you ship
LearnLearnWhat shipped feeds the next cycle, with its context kept intact.
  • Feature history and changelog
  • Insights grooming with AI
  • Stats and adoption by feature

Traditional Teams

1

cycle finished

Bonzaii-powered

1

cycle finished

Try it and tell me what you think

Bonzaii demo: Mossy Notes feature tree
Explore the instant demo
Romaric Delahaie, builder of Bonzaii

Why I built Bonzaii

Hi, I'm Romaric.

“Every pain point is a chance to find a better way.”

I'm a product manager who loves testing new ways of doing the job: better roadmaps, better tools, cooler ways for a team to interact with what they're building. Bonzaii is my passion project for exploring them. It's free for everyone, and I want it collaborative: use it, tell me what's missing, and that shapes what I build next.

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