Garden / Product Design & Strategy

Every strategic claim, traced back to proof.

Garden is a multi-agent platform for brand strategy work. It takes raw research, client briefs and meeting notes and turns them into strategic narratives that are actually backed by evidence — and before anything goes to a client, a Socratic AI tries to pick it apart first, so we're not the ones finding the holes in the room.

System modelEvidence-first

Garden workflow

Brief to proof to strategy
01 / InputBriefs, sources, transcripts, and client context enter once.
02 / ReasoningAgents build evidence, shape the Diamond, and challenge the logic.
03 / OutputThe recommendation ships with proof, decisions, and QA attached.
23+
separate agents doing research, synthesis and validation work
7
domains in the data model — evidence and decisions each get their own
12
stages from brief to output package, now guided instead of scattered across tabs
3
LLM and search providers you can swap without touching the pipeline

Role & Context

Built as a solo product designer, for the strategy work I had to do myself.

As the product strategist and designer, I shaped Garden’s workflow, information architecture, interface direction, and case-study narrative over 14 weeks. I built it for my own strategy process: understanding briefs, researching the category, and running competitor analysis faster without losing the evidence trail.

My role
Product strategist and designer

Defined the use case, product flow, information architecture, interface direction, and case-study story.

Timeline
14 weeks

From product framing and workflow definition through the redesigned case-study experience.

Built for
Myself, as a solo product designer

A tool for the strategy work I needed to complete before moving into design decisions.

Time saved
6 hours a week

Average time saved each week by reducing brief review, category research, and competitor analysis.

Workflow Model

A guided operating model, not another research dump.

The product experience is organized around the work a strategist actually needs to move through: define the engagement, collect evidence, harden the strategic logic, and package the decision trail so the final recommendation can be trusted.

01 / Intake

Scope the work

Briefs, client context, competitors and meeting notes enter once, then become shared context for every downstream agent.

Output: governed project workspace
02 / Research

Build evidence

Specialized research agents run in parallel, normalize sources, remove duplicates and keep citations attached to the extracted claims.

Output: evidence bank
03 / Synthesis

Shape strategy

The synthesis layer turns evidence into tensions, territories and a Brand Diamond while preserving rejected paths and rationale.

Output: structured strategic narrative
04 / Hardening

Stress test

Socratic QA, quality gates and the decision ledger challenge assumptions before the recommendation becomes client-facing.

Output: validated strategy package
Input layer
Brief, sources, transcripts, context

Strategists feed the system with the raw material they already collect.

Reasoning layer
Source + evidence + reasoning + decision + version + human review

Every claim travels through a traceable chain instead of appearing as unsupported AI prose.

Output layer
Brief, memo, appendix, QA summary

The client-facing package arrives with the proof trail already attached.

The Problem

We'd basically engineered an operating system before we had one user who was actually addicted to it.

And the backend really was sophisticated — nineteen-plus database tables, twenty-three agents, forty-plus endpoints, a genuine consulting engine covering brief intake, research, meeting ingestion, decision tracking. None of that was the issue. The issue was that the front door made strategists do a bunch of admin work before they'd seen anything useful.

“You didn't build a product; you built an entire infrastructure. A busy strategist will get exhausted before they ever see the value.” — Internal product critique, May 2026

On first use, the app put six gates between the strategist and the first useful insight: brief intake, enrichment, plan acceptance, context-source curation, workflow activation, and a token-log review. The engineering underneath was solid. The entry experience was not.

It stung the first time I read it, but it was right.

The Reframe

The tab count was never the point. What we should've been showing off was the lineage.

Every AI strategy tool will happily give you an answer. Almost none of them will show you where it came from. That's really the one thing Garden does differently — source + evidence + reasoning + decision + version + human review, and every claim traceable back through that chain. Once we accepted that this was the actual product, the redesign was less about adding features and more about getting twelve admin gates out of the way, folded into one guided workbench with a Command Center at the front of it.

Competitor class
Where they win
Where Garden differs
All-in-one enterprise platforms
Massive data ingestion, quantitative scale, enterprise contracts
Backward-looking analytics — no narrative positioning or Socratic reasoning on qualitative logic
Deep research agents
Open-ended web crawling, fast comprehensive report writing
No memory — ephemeral, isolated reports with no constraint or version tracking
Niche strategic sparring tools
Brand-grounded Socratic QA against a knowledge graph
Scoped to retail execution — Garden spans the full brief-to-activation consulting cycle

still the comparison I go back to when someone asks "why not just use ChatGPT for this."

How It Works

One brief goes in. Eleven agents argue about it. One answer comes out the other side.

A project objective starts in the Scope Planner, fans out across parallel research agents, then gets normalized, synthesized, and cross-examined before anyone can call it a recommendation.

01

Scope Planner

Looks at the project's engagement type and objective and figures out which research workflows this particular engagement actually needs — not every engagement needs all five.

02

Parallel research sub-agents

Five specialized agents research in parallel, each scoped to a distinct evidence class.

Market Research Competitor Research Brand Landscape Consumer Signals Cultural Trends
03

Evidence Normalizer

Deduplicates findings, scores source confidence, and attaches citations before anything reaches synthesis.

04

Strategic Synthesis Agent

Builds out the tensions, white spaces and territories — and just as importantly, it keeps a record of what it rejected and why, instead of quietly throwing that away.

05

Socratic QA Agent

Probes assumptions, simulates client pushback, and hunts for contradictions before a human ever sees the deck.

06

Quality Gate

Checks claim support, source diversity, strategic depth and actionability — and can route the output back to synthesis or research if it fails.

07

Strategy Output Package

Assembles the client-facing brief, executive memo, evidence appendix, decision summary and Socratic QA summary.

Inside The Product

Walking through the workbench

What used to be twelve flat tabs is now a guided sequence off the Command Center — competitors and context first, then evidence and hardening, then strategy, activation, and the narrative test at the end. Here's what each stop actually does.

Walkthrough

Three large moments carry the user through the product.

The redesigned page treats the walkthrough like a primary product artifact: each moment gets a full interface panel, a clear job, and enough scale to make the system understandable before the detailed feature list begins.

Moment 01

Start from the Command Center

The strategist lands on one ordered queue instead of a field of tabs, with each stage showing status, blocker, destination and what should happen next.

Moment 02

Follow the proof trail

Research and evidence views stay connected, so the user can move from a final claim back through source, confidence, extraction and reasoning without leaving the workbench.

Evidence walkthrough interface
Moment 03

Harden before it ships

The last mile is a challenge loop: Socratic QA flags weak logic, the quality gate checks claim support, and the output package keeps the review history visible.

Hardening walkthrough interface
01 / Command Center

The guided action queue

I replaced the flat tab bar with numbered stage cards. Each card shows status, open work, blockers, and a direct link to the right screen: Client Alignment, Workflow Runs, Evidence, or the next incomplete stage.

  • Project stages become a visible progress map
  • Each card links to one destination, not a menu
  • Enterprise surfaces stay one level below the main path
02 / Research & Evidence

Nothing gets into the strategy uncited

Competitors and context sources are added once, then every downstream agent draws from the same pool. Each evidence item keeps a live link to its origin: source URL, meeting transcript, uploaded document, or client validation input.

  • Evidence bank with status, source type, and validation state
  • Source-to-output lineage enforced in the data layer, not just the UI
  • Research, client input, synthetic test data, and missing-source gaps stay separated
Evidence Bank interface with citation-ready evidence items
03 / Brand Diamond

The strategic story, structured

Once there is enough evidence, Garden assembles a Brand Diamond: the story and meaning the brand should own. It comes out structured, reviewable, and editable, not as a wall of AI prose to sort through.

  • Generated from the evidence bank, with confidence markers per claim
  • Placed before Hardening: strategy first, stress-test second
  • Designed as the first engagement model, with Positioning and Market Intelligence next
04 / Strategy Hardening

A hostile client, on demand

The Socratic QA Agent reads the draft strategy for trouble: unstated assumptions, logical gaps, and places where a competitor may already own the ground being claimed. Each question turns into a structured response path: strategic answer, evidence needed, and validation action.

Fatal logical gap Unproven assumption Competitor overlap
Strategy Hardening interface with Socratic questions
05 / Decision Ledger

Nothing gets decided quietly

Every choice, assumption, and rejected alternative gets logged against the evidence that produced it. Decisions stay visible instead of disappearing once someone updates a shared doc.

  • Assumptions labeled by evidence need
  • Rejected alternatives kept beside the chosen direction, with rationale
  • Resolved and validated items remain available for audit
Decision Ledger interface
06 / Strategy & Activation

From narrative to territories

Once a strategy is approved, Garden generates versioned drafts and activation ideas. Those ideas get challenged too, so the evidence-and-critique habit continues into execution.

  • Version history instead of one overwritten document
  • Activation ideas generated from the hardened strategy, not the first draft
07 / Narrative Intelligence Test

Testing the story before it ships

A structured test checks whether the narrative lands with people, not just with the team. It is generated from the strategy, completed, and interpreted into findings a strategist can use: the last link from evidence to validated output.

Who It's For

Two different jobs, same night-before dread.

Principal Director / Strategy Lead

The pre-flight check

Juggling three client accounts, most of the week gone to workshops and alignment calls. The night before a high-stakes pitch, this is who opens Garden to run the strategy through Hardening — the goal being that nothing lands as a surprise once they're actually in the room.

“Where am I exposed if this client pushes back?”

Senior Strategy Analyst

The evidence builder

Usually buried under transcripts, client PDFs and trend reports, copy-pasting quotes into a research appendix by hand — or at least that's how it used to go. Now the raw material goes into Garden and what comes back is already structured and source-linked.

“Can I actually trust where this claim came from?”

Under The Hood

A reasoning system underneath, not just an API call wrapped in a UI.

Backend
FastAPI · Python 3.11 · SQLAlchemy 2.0 async
Database
PostgreSQL on Cloud SQL · Alembic migrations
Agent orchestration
LangGraph multi-agent pipeline
Frontend
React 18 · TypeScript · Vite
LLM layer
Anthropic Claude (primary) · OpenAI · Gemini, via a configurable model registry
Search layer
Tavily (primary) · Brave · Exa, via a configurable search registry
Infrastructure
Google Cloud Run · Secret Manager · Artifact Registry
Data model
7 domains · UUID keys · table-driven status & stage taxonomies

Where It's Headed

The engine's built. The front door still needs work.

The backend's stable at this point — what's left is mostly design work: getting people into the value faster, and making sure they trust what they're looking at once they're there.

Exploring
Zero-setup entry point — a single drop zone that runs a strategy document through Hardening without full client or project setup.
Planned
DOCX / PPTX export for the Strategy Output Package, so an approved package leaves the platform client-ready.
Planned
Visual lineage graph — a node-based view connecting a final claim back through evidence, source and reasoning, instead of a text log.
Next profile
Positioning & Market Intelligence engagement types, extending the same evidence-and-hardening pipeline beyond narrative strategy.

— will update this page as the pilot moves. it's a living project, not a launch announcement.

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