Project Name: GoForm
Individual name:
i)OGUNSAKIN OLAJUWON OLUWATAMILORE (OLUWATAMMIE)
ii) UDAMA STEPHEN
Website: https://goform.biz/
Github: https://github.com/go2form2025-star/v0-goform-renewed
Summary
GoForm is a next-gen, no-code form builder that uses Intuition’s identity-tag technology and AI-powered context to make every response more trustworthy, verifiable, and meaningful. It helps creators, students, and teams collect high-quality data with smarter, authenticated, and dynamically adaptive forms.
Project category:
i)Consumer App
ii)AI Context
iii)Identity
ORIGIN
GoForm started when i and my friend were tired of filling spam forms in disguise of scholarships. We also kept struggling with outdated, rigid form tools for school projects, campus surveys, and small startup ideas. we needed something faster, smarter, and more flexible yet something that didn’t require coding but still felt professional. Realizing many students are early-stage founders and dream chasers faced the same problem.
We then decided that we needed a solution that didn’t just collect data but validated it. We then decided to integrate Intuition’s identity-tag and AI context engine..
We aim to create a form platform where responses carry reputation, trust signals, and contextual meaning.
WHAT WE ARE BUILDING.
Problem Statement:
We noticed that most form tools do the bare minimum and they collect answers but don’t help you trust them. As students working on projects, surveys, and small startup ideas, we constantly ran into spam responses, fake identities, and data that lacked real context. It became clear that getting accurate, meaningful information was harder than creating the form itself.
And for respondants, we noticed that people with true data are tired of filling forms because of the source of most form is mysterious and unverifiable.
Proposed Solution:
GoForm aims to solves this by combining a clean, no-code form builder with Intuition’s identity-tag and AI context technology. Every form automatically carries a verifiable identity, so respondents know exactly who is behind it, building instant trust. On the backend, responses are enriched with reputation signals and contextual meaning, helping creators filter out spam, understand real intent, and collect higher-quality data.
Instead of just capturing answers, GoForm creates a trusted, transparent, and intelligent data-collection experience for both creators and respondents thereby making forms feel safer, smarter, and more worth filling.
Stage of development: MVP/LIVE
TECHICAL OVERVIEW
Frontend
Next.js (React Framework) – for UI, routing, server actions, and API routes
Tailwind CSS – for fast, responsive styling
Vercel – hosting + edge functions for high-performance delivery
v0.dev / v0.app – for UI generation and interface scaffolding
ShadCN UI Components – for consistent UI elements
Framer Motion – animations and micro-interactions
Backend
Neon PostgreSQL – cloud-based Postgres database
Prisma ORM – schema, migrations, and database queries
Node.js / Next.js Server Actions – backend logic
Edge Runtime – selected endpoints executed at the edge for performance
Cron Jobs (Vercel / external) – subscription and usage syncing tasks
Authentication & User Accounts
NextAuth / Custom Auth Flow – handles login, sign-up, sessions
Magic Link / Email Reset – password reset and login emails
Custom Email Templates – for onboarding, resets, notifications
Blockchain & Payments
Base Mainnet – blockchain network
$TRUST Token (Contract: 0x6cd905dF2Ed214b22e0d48FF17CD4200C1C6d8A3) – subscription token
Chain ID: 8453
Ethers.js / viem – blockchain interaction
Custom Transaction Verification System – validates on-chain payments before upgrades
Notifications
Email transport provider (SMTP / Resend / similar) – for transactional emails
Webhook triggers – for external integrations (optional expansion)
Storage & Assets
Vercel Blob Storage / UploadThing / Cloud Storage (based on your implementation) – file uploads (images, logos, favicons)
CDN Delivery (via Vercel) – fast access to uploaded assets
Analytics
Vercel Analytics – traffic and performance monitoring
Custom Event Tracking – in-app form usage metrics
DevOps & Infrastructure
Vercel – CI/CD, deployments, previews
GitHub Sync via v0.app – automatic code syncing
Environment Variables Manager (Vercel) – secure runtime configuration
Domain Routing – supports custom links for forms
Security
HTTPS Everywhere (Vercel TLS)
JWT Tokens + Session Management
Role-Based Access Control (free vs paid users)
On-chain payment verification before subscription upgrades
AI (Coming Soon Feature)
Hover AI Assistant UI Shell – non-functional placeholder
Future integration planned via Intuition AI Portal
TEAM AND EXECUTION ABILITY
TEAM BACKGROUNDS
Team Structure & Roles.
Stephen Udama — Founder / COO & Lead Developer
Responsible for technical architecture, frontend/backend development, Intuition primitive integration, and product execution. Full-stack developer with experience building production websites for online retailers. Currently expanding protocol knowledge and AI engineering skills.
Oluwatamilore — Co-Founder / Community & Product Lead
Leads community development, user research, product testing, and growth strategy. Oversees onboarding flows, communication systems, and ensures GoForm remains aligned with real user needs. Brings two years of Web3 experience across DAOs, NFT projects, and DeFi communities with a focus on trust, engagement, and safety
Together, we’ve shipped the first working Live of GoForm, rapidly integrated Intuition primitives, and proven our ability to learn fast, build fast, and contribute meaningfully.
Advisors or Collaborators
1.Early technical guidance from Intuition community contributors.
2. Informal advisors from developer circles within the intuition and Nigerian Web3 ecosystem.
3.Collaborations with INTUITION builders, students, founders, and DAO operators and everyone who provide ongoing feedback for GoForm’s trust and identity features.
Expected Future Hiring (6–18 Months)
As GoForm scales, we plan to expand the team with:
-
AI Engineer: to improve context enrichment and trust scoring.
-
Frontend Developer: to accelerate UI/UX improvements and new features.
-
Community Manager: to manage growth loops, partnerships, and onboarding.
-
Protocol Engineer: dedicated to supporting deeper Intuition integration (atoms, triples, InfoFi).
Future Hiring will be gradual and tied to revenue and user growth.
Prior Crypto / AI Experience Relevant to GoForm
Stephen Udama:
1)Full-stack developer since 2022 with experience integrating APIs and building production systems. Started learning AI in March 2023, covering LLM use, model integration, and automation workflows.
- Experience working with decentralized systems and early-stage crypto tools.
Directly leading Intuition primitive integration for GoForm ( DIDs and AI context).
Oluwatamilore:
-
2+ years in Web3 community roles (Hunters DAO, Furpreep, Sol Goat, CnCL). Experience in user onboarding, trust-building, moderation, spam mitigation, and Web3 user operations.
-
Strong background in community psychology and retention patterns and crucial for form adoption and trust requirements.
Grant Request & Milestones
Amount Requested (USD and $TRUST)
$10,000 USD + 30,000 $TRUST
Budget Breakdown by Milestones
Milestone 1: Intuition Identity Integration
Budget: $2,500 + 5,000 TRUST
Full integration of Identity Tags for form creators and respondents
Verified form ownership + trust badges UI
Basic trust score and DID linking
Internal + community testing
Milestone 2: AI Context & Trust Scoring
Budget: $2,500 + 5,000 TRUST
-
Integrate Intuition AI context engine
-
Response enrichment (meaning, intent, sentiment)
-
Spam + bot filtering powered by trust signals
-
Trust-weighted analytics dashboard
Milestone 3: GoForm (reformed) Public Launch and marketing
-
Budget: $5,000 + 20,000 TRUST
-
Launch GoForm v2 with full Intuition trust layer
-
Growth loops, onboarding redesign, and user workflows
-
Community rollout campaigns (universities, DAOs, Web3 groups)
-
Performance improvements and UI polish
Expected Timeline & Deliverables
1. Q1 2026: Verified Identity Layer
Deliverables:
Creator DID verification + trust badge
Verified respondent option
Trust-layer API integration
80% reduction in anonymous submissions
Q2: AI Context Engine & Trust Intelligence
Deliverables:
Context-enriched responses (atoms + triples)
Trust score per response
Automated spam filtering
Semantic insights dashboard
Q3: Public Launch & Distribution Loop
Deliverables:
GoForm v2 live for all users
Creator growth loop built into sharing flow
500+ new testers onboarded
Community feedback + iteration
Success Criteria by Milestone
Milestone 1 Success Criteria
1. Verified identity on 100% of forms created
2. Trust badges live in UI
3. Respondent verification flow fully functional
Milestone 2 Success Criteria
1.AI context successfully processes ≥90% of responses
2. Spam detection accuracy ≥85%
3. Trust-weighted insights live in dashboard
Milestone 3 Success Criteria
1. 1,000 new users by Q2 of 2026
2. 500+ forms created using trust layer
3. Stable v2 release with documented community feedback
Stretch Goals include;
Wallet-based identity tagging for Web3-native forms
InfoFi integration for form dataset publishing
Multi-chain identity support
GoForm API for developers
Key Dependencies
1. Intuition identity-tag API
2. AI context engine endpoints
3. Stable hosting + data storage
4. Community testing feedback
Risk Assessment
Dependency on Intuition APIs → Mitigation: caching + fallback logic
User misunderstanding of identity verification → Mitigation: onboarding tutorials
Slow adoption → Mitigation: campus activations + DAO partnerships
Technical complexity of trust scoring → Mitigation: build incremental versions
How This Work Compounds Value for the Intuition Network??
GoForm becomes a high-volume entry point for Intuition by transforming everyday form activity into structured graph data. Every creator, every response, and every interaction generates atoms, triples, trust signals, and contextual knowledge. This increases graph density, enriches identity relationships, and drives utility for AI context and InfoFi.
As GoForm grows, it continuously feeds verified, high-quality data into the Intuition Network thereby strengthening the ecosystem’s intelligence, extensibility, and semantic richness.
Intuition Ecosystem Alignment
Why Intuition??
Our product relies directly on Intuition’s trust graph and registry to transform form responses from isolated data points into verifiable, contextualized knowledge.
We use Intuition to:
1. Verify respondent identity through attestations and DID registry lookups
2. Attach provenance and trust context to every form submission
3. Convert raw answers into structured knowledge within the Intuition Graph
4. Enable transparent, queryable trust signals that help form creators detect spam, spoofing, or low-credibility inputs
By anchoring each response into the knowledge graph, we move form data from anonymous and unreliable → verifiable and trust-rich, which is only possible through Intuition’s primitives.
Intuition Primitives We Use
We plan to directly integrate:
Triples – to encode structured assertions such as “Respondent X → submitted → answer Y”
Signals – to express trust scores, reputation context, and quality indicators for responses
DID / Agent Registry – for respondent verification and creator authenticity
AI Context – powering personalized verification flows, response validation, and intelligent form scoring
Why This Must Be Built on Intuition??
Traditional form tools cannot attach provenance, trust context, identity assurance, or graph-based knowledge relationships to answers.
Our system depends on:
1. decentralized identity
2. verifiable knowledge
3. cryptographic attestations
4. trust-weighted signals
3. graph-native AI reasoning
No other network provides the combination of trust primitives, open knowledge graph, and AI context required to make form responses verifiable, contextual, and intelligent.
Intuition isn’t just an option, it is the foundation that makes the product possible.
Data Structure Plan
Atoms for each question, answer, respondent profile, and trust event
Triples:
(Respondent DID → answered → QuestionID)
(Response → carriesProof → AttestationID)
(Form → composedOf → Questions)
Signals for response authenticity, respondent trust level, and creator reputation
Schemas for Form structures, Response types, Verification workflows and metadata classification
TRUST Token Integration
We will integrate TRUST as:
1. Incentives for high-quality respondents (InfoFi style)
2. Payment for advanced form features (verified surveys, premium trust filters)
3. Staking mechanism for creators who want elevated trust visibility
4. Reputation collateral for agents generating high-value data
New Contributions to the Ecosystem
We aim to introduce:
A Form Response Schema for representing answers as graph-native triples
A Respondent Trust Profile Pattern that other apps can reuse
A Verification Agent Type that assists in classification and trust scoring
A standardized Form → Graph pipeline used by future builders to onboard structured data
Impact on Network Activity & Knowledge Density
Our app increases network value by
1.onboarding large volumes of high-quality, structured knowledge
2. generating continuous attestations and trust events
3. activating new DIDs and agent interactions
4. creating repeatable schemas that multiply ecosystem utility
5. producing social and knowledge graphs around communities, schools, and startups
Every form becomes a bundle of new atoms, triples, signals, and trust edges and directly increasing Intuition’s knowledge density and graph richness.
Long-Term Contribution (12–24 Months)
Within the next 1–2 years, we aim to:
Evolve into the default trust-enhanced form infrastructure for the Intuition ecosystem.
Build reusable agent templates for verification, validation, and trust scoring.
Contribute open schemas adopted across multiple Intuition-aligned apps.
Power community surveys, DAO contributions, startup research, academic forms, and user onboarding flows.
Serve as a major pipeline that constantly feeds verifiable knowledge into the global Intuition Graph.
Our long-term vision is for every form created on our platform to become a living trust object that is anchored, queryable, and composable across the entire Intuition Network.
Sustainability & Long-Term Vision
Long-Term Vision (6–24 Months)
Over the next 6–24 months, our goal is to evolve from a simple trust-enhanced form tool into the default verification and knowledge-collection layer for the Intuition ecosystem.
We aim to:
1. Fully integrate form data into the Intuition Graph as structured, queryable knowledge
2. Launch an agent-powered verification engine that detects spam, spoofed identities, and low-trust responses
3. Provide reusable schemas so other Intuition builders can easily onboard structured knowledge
4. Expand from student projects and startup surveys into DAOs, onboarding flows, community governance, and market research
5. Become a major source of new atoms, triples, and trust signals flowing into the network every day
Our long-term vision is to standardize the way verifiable knowledge is collected—and make Intuition the trust layer behind every serious form.
Post-Grant Sustainability Plan
After the grant, the project will sustain itself through:
1. Revenue from premium features
2. TRUST-based incentives that create network flywheel effects
3. Expansion into research, community tools, and DAO governance
4. Partnerships with student communities, startup builders, and verification-focused dApps
5. Growing demand for trust-anchored knowledge as Intuition scales
The grant accelerates us to product-market fit; the business model keeps us sustainable long-term.
Business / Revenue Model
Our sustainability is driven by a hybrid model:
1. Free Tier(Basic form creation, Graph-anchored responses, Limited verification features) and Pro Tier (Advanced verification agents, Reputation scoring for respondents, Premium analytics and insights, Graph explorer for form creators and Organization and team features)
2. InfoFi Incentive Layer
Respondents who provide high-quality, verifiable answers can earn TRUST and creators can stake TRUST for enhanced distribution and verification.
This aligns our revenue generation directly with network activity.
Go-To-Market / Distribution Strategy
We plan to scale through a combination of community-first and ecosystem-native tactics:
1. Intuition Ecosystem: Direct integration with agents, builders, student communities, and hackathon pipelines
2. Educational Institutions: Research surveys, department projects, thesis data collection
3. Startup & Founder Communities: Validation surveys, early customer discovery
4. Crypto & DAO Communities: Governance voting, member verification, sentiment polls
5. Builder Tooling: Templates for onboarding flows within other Intuition dApps
Our distribution is built around communities that already run on forms but lack trust and context.
For our Competitive Landscape
While there are established form tools (Typeform, Google Forms, Jotform), none provide:
- Decentralized identity integration
- Cryptographic trust signals
- Knowledge graph anchoring
- Attestation-based response scoring
- AI agents with provenance-aware reasoning
Our unique differentiators include:
1. Trust Layer: responses carry verifiable proofs, not anonymous claims
2. Knowledge Graph: forms become structured knowledge, not isolated spreadsheets
3. Agents: intelligence that understands provenance and context
4. TRUST Integration: incentives, staking, and economic alignment native to Intuition
We are not competing with traditional form tools instead we are defining a new category: verifiable knowledge collection.
Email: go2form2025@gmail.com
Wallet address : 0x86eaed68a75d39987b05c109453cb6d8209851b4
Applicant Attestation
I confirm that all information submitted is accurate and that I intend to deliver the listed milestones.
Name:Ogunsakin Olajuwon and Udama Stephen
Wallet Address: 0x86eaed68a75d39987b05c109453cb6d8209851b4
Date: 5th of December, 2025.