Foldspace · Product Page Wireframe foldspace.ai/product v5 Brand-accurate · ICP cards redesigned For review · not final design
Nav
Zone 1 — Hero
AI-Native Software
The agentic interface
layer for AI-native software.
Users say what they want. The agent does it.
Every interaction makes your product smarter.
Book a demo Read the docs
PRODUCT DEMO · 30–45s loop
User types natural language → Product Agent executes multi-step workflow → result visible in live UI → Analytics dashboard
No voiceover. Prompt → action → outcome. End on Analytics dashboard.
57%→90%
Day-1 retention · MixMax
+344%
Daily AI actions · AskCody
<60s
Time to first outcome
8→16%
Feature activation · Qonto
Trusted by AI-native teams
MixMax Email workflow automation
Optibus Transit operations
AskCody Workplace management
Qonto Business finance
Vidmob Creative intelligence
Laxis Revenue intelligence
Lusha B2B data platform
MixMax Email workflow automation
Optibus Transit operations
AskCody Workplace management
Qonto Business finance
Vidmob Creative intelligence
Laxis Revenue intelligence
Lusha B2B data platform
Mickey to confirm which logos are cleared for public display · replace placeholder company names with actuals
Zone 2 — Category
AI-Native software doesn't have menus. It has agents.
The agentic interface is the layer where user intent becomes product action — where every conversation makes the product smarter. That layer is Foldspace.
Zone 3 — Problems
The Click Tax
Your product is powerful. Reaching that power costs too much.
[CLICK TAX DIAGRAM]
Existing brand asset · dark bg · gold arrows
Persona → Intent → Click Path → ... → Outcomes
The average SaaS workflow takes 30 clicks. Every empty state and settings menu is activation risk. No amount of onboarding copy fixes it.
The Activation Gap
PLG removed the salesperson. Nobody removed the complexity.
Product tours complete at 16%. The activation gap isn't a UX problem — it's an interface problem.
The Build Wall
You committed to AI. Your users still can't feel it.
Instead of spending quarters building a production-grade agentic layer, or shipping a chatbot that doesn't move metrics — there's a third path: an interface layer that deploys in hours.
Zone 4 — Architecture
Every AI-Native product converges on three layers. We own the top one.
Foldspace
Layer 2 — Agentic Interface
Product Agent · Conversational Analytics · Trust Lab
Context Engine · Optimizer · Inference Gateway
↕ SDK     A2A + MCP ↕
Your IP
Layer 1 — Orchestration
Your agent loops · Domain models · Proprietary logic
Unchanged
Layer 0 — Deterministic Backend
Your APIs · Permissions · Business logic · Audit trails
Layer 1 is your moat. We sit above it — not inside it.
Optibus built their own orchestration layer. Then bought Foldspace for the interface. Your IP stays yours.
Live in your product in under an hour
import { FoldspaceAgent } from '@foldspace/sdk';

FoldspaceAgent.init({
  token: 'fs_live_••••••••',
  actions: ['navigate', 'filter', 'export'],
  context: {
    userId: user.id,
    role: user.role,
    screenState: getScreenContext()
  }
});
Single SDK. Connects to your existing APIs — no new backend.
Hours, not quarters.
Average first production deploy: under 8 hours of engineering time.
Mickey to confirm: customer-attested or internal?
Zone 5 — Module Nav · sticky on scroll
Module 01
Product Agent
The agentic interface. Users speak; the agent executes inside your live product.
📊
Module 02
Conversational Analytics
Intent signals, not clicks. Your roadmap lives in the unresolved prompts.
🔬
Module 03
Trust Lab
Golden sets, shadow mode, canary rollouts. Ship agents like infrastructure.
Sticky on scroll — highlights active module tab as user reads down. Clicking jumps to that section. Mobile: horizontal scroll.
Zone 6 · Module 01 — Product Agent
Module 01 — Product Agent
The interface AI-Native software was always supposed to have.
Users type or speak what they want — "set up my Q3 pipeline," "pull last month's report for enterprise accounts" — and the Product Agent does it, inside your live product, bound by the same APIs and permissions as your UI.
[PRODUCT AGENT UI — screenshot or mockup]
Show: chat interface inside a real SaaS product UI
Visible prompt → agent executing → result in product
Priority: use MixMax or AskCody real product if available
Priority: real customer product screenshot. Not abstract illustration.
What powers every response
User MemoryPreferences, prior intents, outcomes — persistent
Behavioral SignalsWhat this user actually does
Knowledge (RAG)Docs, policies, content
Live Screen StateCurrent view, role, permissions
Agent Response
Key capabilities
  • Agent Studio — no-code action and schema builder for PMs
  • Developer plugin — build in Claude Code or Cursor against your SDK
  • Remote plugin — deploy without engineering via Chrome MCP
  • Chatterblocks — interactive cards, forms, dashboards rendered inline
  • Voice — hands-busy, accessibility, and mobile contexts
  • Tandem mode — agent manipulates the live UI alongside the user
In production
57% → 90%
Day-1 retention · MixMax
"We replaced a 15-minute onboarding flow with a single prompt."
+344%
Daily AI actions · AskCody
3–5×
Trial-to-paid lift
See the Product Agent →
Zone 7 · Module 02 — Conversational Analytics
Module 02 — Conversational Analytics
Early Access
AI-Native analytics captures intent, not clicks.
[CONVERSATIONAL ANALYTICS DASHBOARD — screenshot or mockup]
Show: intent clusters · unresolved prompt list · cost per action chart · model performance
Should feel like a real analytics tool. Not an illustration.
Key capabilities
  • Intent signals — what users are trying to do, not the buttons they pressed
  • Unresolved prompt tracking — highest-priority roadmap input, ranked by frequency
  • Cost per action — by action type, model, and user cohort
  • Model performance — quality scores, latency, eval pass rates — live
  • Friction signals — detect frustration and drop-off before churn
Mickey to supply: customer quote on how Conversational Analytics changed their roadmap or churn signal
Traditional vs. Conversational Analytics
TraditionalConversational
Tracks clicksTracks intent
Tells you what happenedTells you what users wanted
Lags churn by weeksSurfaces friction before churn
Empty funnel chartsActionable prompt clusters
Roadmap is a guessRoadmap is in the data
Join the early access program →
Zone 8 · Module 03 — Trust Lab
Module 03 — Trust Lab
Early Access
Ship agents the way SREs ship infrastructure.
Ship agents the way great engineering orgs ship infrastructure: golden sets, shadow mode, canary rollouts, and full-loop evals that see both the response and the resulting API call. Trust Lab is that system — built directly into Foldspace.
[TRUST LAB UI — screenshot or mockup]
Show: eval run with pass/fail rates · golden set list · shadow mode toggle · cost delta comparison
Should feel like a CI/CD dashboard — technical, precise. Not illustrative.
Key capabilities
Full-loop evalsResponse + resulting API call. Catches both failure modes.
Model switch validationCost, latency, quality delta — side by side before production.
Prompt change testingEvery context change runs through your golden set. No silent regressions.
A2A agent testingValidate complex multi-step agentic chains end-to-end.
The eval story that holds up under scrutiny.
Golden sets from real production conversations. You own the set. You define the pass criteria. The methodology is yours to audit.
Security and Compliance
ISO 27001
SOC 2 Type II
GDPR
JWT / HMAC
PII Masking
Audit Trails
Foldspace-managed today. LangChain-compatible on the roadmap.
Use official certification marks — see brand/brand-tokens.md for sourcing requirements.
How it works
Step 1
Shadow Mode
Run new config alongside production. Compare outputs without exposing users.
Step 2
Golden Set Validation
Test against real production conversations, captured automatically.
Step 3
Canary Rollout
Release to a defined cohort. Monitor eval pass rate, cost, and latency.
Step 4
Full Production
Ship with confidence. Every conversation is a new eval candidate.
Join the early access program →
Zone 9 — Platform
Optimizer
Self-learning. Self-tuning. Always on.
Continuously adjusts routing, context selection, and model choices to improve accuracy, reduce latency, and cut token cost.
20–35%
Token cost reduction within 90 days
Mickey to confirm: customer-attested or internal benchmark?
A2A + MCP
Your existing AI investments stay yours.
Connects to your agent loops, domain models, and voice agents via Agent-to-Agent protocol. Fully MCP-compatible — your MCP servers and existing integrations all work natively. Foldspace integrates. It does not replace.
Zone 10 — ICP Cards · compact 3-col · v5
The same platform. The angle changes with who's using it.
Each card is a 30-second self-qualification. The full story lives on the dedicated /for/ page.
For Product and Growth
Stop building activation funnels. Ship activation.
Users sign up, hit complexity, and leave. The Product Agent does the work for them — in seconds, no clicks, no drop-off.
  • Product Agent executes workflows on behalf of the user
  • Agent Studio — no-code, no engineering required
  • Remote plugin — PMs deploy without touching code
  • Conversational Analytics — prompts write your roadmap
57% → 90%
Day-1 retention · MixMax
"We replaced a 15-minute onboarding flow with a single prompt."
See how it works →
links to /for/product-growth
For CTOs and AI Engineering
Your Layer 1 stays yours. We own Layer 2.
You've built the orchestration. The interface layer is what's missing. Foldspace sits above your stack — connecting your APIs, permissions, and agent logic to a surface users can talk to.
  • Three-layer architecture — your IP stays in Layer 1
  • Trust Lab — golden sets, shadow mode, full-loop evals
  • A2A + MCP — connects to your existing agent ecosystem
  • ISO 27001 · SOC 2 · GDPR · JWT/HMAC
Days
To deploy Layer 2 · Optibus
"We had the orchestration loop. We didn't want to build the interface. Foldspace shipped it in days."
Talk to engineering →
links to /for/engineering
For Developers
Ship a production AI layer this sprint. Own the code.
Two plugins. Build inside your codebase in Claude Code or Cursor. Or deploy without it via Chrome MCP.
// Define an action
export const action = defineAction({
  name: 'create_report',
  execute: async (params) => {
    return await reports.generate(params);
  }
});
  • Developer plugin — build in Claude Code or Cursor
  • Remote plugin — no codebase, via Chrome MCP
  • TypeScript SDK with full type inference
  • MCP-native — existing servers connect out of the box
Read the docs → GitHub →
Mickey to confirm public repo exists
Zone 11 — Social Proof
MixMax
57%→90%
Day-1 retention
"We replaced a 15-minute onboarding flow with a single prompt."
AskCody
+344%
Daily AI-driven actions
[Mickey to supply quote]
Qonto
8→16%
Feature activation
[Mickey to supply quote]
Optibus
Days
To deploy Layer 2
[Mickey to supply quote]
MixMaxOptibus AskCodyVidmob QontoSugarCRM AnvilEverCommerce
Mickey to confirm which logos are cleared for public display
Zone 12 — Enterprise
Enterprise-grade from day one. Not an add-on.
ISO 27001
SOC 2 Type II
GDPR
JWT / HMAC Auth
Advanced PII Masking
Action-Scope Controls
Full Audit Trails
Data Residency Options
Role-Based Permissions
SSO — SAML 2.0 and OIDC
SLA — 99.9% uptime
Dedicated support — named CSM and engineering contact
On-prem / VPC — available on request
Mickey to confirm: SSO and on-prem/VPC — available or remove?
Talk to our enterprise team →
Zone 13 — Final CTA
Ready to build AI-Native?
See Foldspace running inside a product like yours — or go straight to the docs.
Book a demo Start with the docs
ISO 27001·SOC 2 Type II·GDPR·Ships in hours