BricqsBricqs
AI Builder

Design engagement experiences with AI assistance.

Describe your campaign goal in plain language and AI generates the complete flow — component layout, engagement mechanics, scoring rules, and reward configuration — in seconds. Refine iteratively through conversation, not configuration screens.

An AI-powered campaign builder that translates marketing intent into production-ready engagement experiences — the model handles composition, rule logic, and best-practice defaults while your team stays focused on strategy and creative direction.

bricqs.co/ai-builder
Generate flows
94%
Suggest mechanics
12.4k
Auto-configure rules
847
Recent Activity
Flow generated
Rules configured
Preview ready
Published
Progression
75%
Generation progress
Recent Generations
Holiday Quiz3 screens
Onboarding Flow5 screens
Spin Promo2 screens

How AI Builder works

From a plain-language brief to a publish-ready campaign in three conversational steps.

BBrief enteredGGoal selectedUAudience setDBrand loadedAPIStream →847events/hr
1

Describe Your Goal

Tell the AI what you want to achieve — 'holiday promotion with spin wheel and email capture' or 'onboarding quiz that awards badges.' The model interprets intent, audience context, and engagement goals to generate an initial structure.

EventAGENTIC ENGINEParseMatchGenerateValidateIF🎨 Layout⚙️ Rules📋 Flow
2

AI Generates the Flow

The builder produces a complete multi-screen campaign with appropriate components, scoring rules, reward triggers, and layout defaults. Every generated configuration follows platform best practices and validates against rule constraints.

BDescribeAGenerateVReviewLRefineAILoop<1mto first draft85%acceptance4xfaster launch
3

Refine & Publish

Review the generated experience in the visual builder, make adjustments through conversation or direct edits, and publish instantly. Each refinement iteration takes seconds instead of hours — the AI preserves context across rounds.

Without this engine

Why traditional approaches fail

These are the patterns teams hit when they try to build engagement without a purpose-built engine.

Teams spend weeks designing campaign experiences from blank templates because every component, rule, and flow connection must be configured manually from scratch.
Scoring and reward rule configuration requires specialist knowledge — marketing teams can't self-serve, and engineering queues add days to every campaign iteration.
Iteration cycles are too slow because changing one mechanic means reconfiguring downstream rules, reward triggers, and screen transitions manually.
Best practices for engagement design — optimal quiz length, reward pacing, component sequencing — live in tribal knowledge and aren't standardized across projects or teams.
!Creative ideation and technical setup are disconnected — marketers describe what they want in a brief, then wait for someone else to translate it into a working experience.

How Bricqs solves it

Four capabilities that replace fragmented tools with a unified engagement engine.

01

Prompt-to-flow generation

Describe a campaign in plain language and receive a fully structured multi-screen experience with components, layout, scoring rules, and reward triggers — all generated in seconds. The AI understands engagement patterns and composes flows that follow platform best practices for the specific goal and audience you describe.

BriefGenerateReviewRefinePublish

Teams move from campaign idea to reviewable draft in under a minute instead of days.

02

Mechanic recommendations

The AI recommends specific engagement mechanics based on your campaign goal, target audience, and industry context. Running a holiday promotion? It suggests spin wheels and countdown timers. Building an onboarding flow? It recommends progressive quizzes and badge unlocks.

IntentMechanicsRulesLayoutAIEngine

First-draft campaigns use proven mechanic combinations instead of guesswork.

03

Rule auto-configuration

Scoring weights, reward thresholds, streak parameters, and completion criteria are set automatically based on the campaign type and historical patterns. The AI applies sensible defaults for point values, quiz pass marks, and reward timing — you adjust only what needs to be different.

ParseBriefSelectMatchLayoutBuildRulesConfigReadyOutput

Fewer configuration errors and less time spent on rule setup that follows established patterns.

04

Conversational optimization

Refine campaign logic through natural conversation — 'make the quiz harder,' 'add a bonus for completing all screens,' 'change the spin wheel to scratch card.' The AI understands context from previous rounds and updates the configuration while preserving existing work.

ComplexityMediumScreen count4 screensMechanicsQuiz+SpinLIVE

Campaign iteration happens in real time through conversation, not configuration forms.

Key capabilities

Everything ai builder gives your team out of the box.

Try it free

Generate flows

Turn a plain-language campaign brief into a structured multi-screen engagement journey with components, rules, and layout. Each generation follows platform patterns for the specific campaign type.

Optimize engagement

Get AI-assisted suggestions for improving campaign performance — better component sequencing, reward timing adjustments, and mechanic substitutions based on engagement data.

Suggest mechanics

Receive contextual recommendations for engagement mechanics — quizzes, games, contests, forms — based on your campaign goal, target audience, and industry vertical.

Quizzes
12
Contests
8
Forms
5
Games
3
4 flows generated!

Iterative chat refinement

Update campaign logic through natural conversation across multiple rounds. The AI preserves context and prior decisions, so each iteration builds on the last without starting over.

Preview-ready output

Every AI-generated experience is immediately previewable in the visual builder and publishable to production. No manual assembly step between generation and deployment.

Auto-configure rules

Apply intelligent defaults for scoring, reward triggers, completion criteria, and progression thresholds. The AI calibrates values based on campaign type and historical engagement patterns.

Templates
QQuiz
SSpin
FForm
CContest
GGame
VSurvey

Built for real scenarios

Teams across industries use ai builder to power these outcomes.

Rapid Campaign Drafting

Convert marketing briefs into launch-ready campaign structures in minutes. Product marketers, growth teams, and campaign managers describe their goals and receive complete experiences — eliminating the back-and-forth between creative intent and technical implementation.

Cross-team Collaboration

Marketing, product, and operations teams refine one AI-generated blueprint together instead of passing requirements through sequential handoffs. Each stakeholder adjusts their area conversationally while the AI maintains consistency across the full experience.

Continuous Optimization

Tune live campaign mechanics quickly as engagement data reveals what works and what doesn't. Ask the AI to adjust scoring, swap components, or modify reward timing based on real performance — then publish the updated version instantly.

Template Scaling

Generate campaign variations for different segments, geographies, or brands from a single prompt template. The AI adapts content, mechanics, and rules to each context while maintaining the core engagement strategy across all variations.

Agentic generation pipeline

AI agents continuously map campaign intent to structured engagement logic — generating configurations, validating rules, and suggesting optimizations without manual prompt engineering.

Brief described
Goal, audience, mechanics preference
AI generates flow
Layout, components, scoring rules
Configuration applied
Rewards, thresholds, brand tokens
Ready to publish
Preview, refine, and deploy instantly
Smart default generation that calibrates scoring weights, reward thresholds, and timing parameters based on campaign type, audience size, and historical engagement patterns.
Context-aware recommendations that consider your existing campaigns, brand guidelines, and performance data when suggesting mechanics and configurations.
Rule consistency checks that validate generated configurations against platform constraints — preventing conflicting rewards, impossible completion criteria, or unsustainable point economies before you publish.

AI with guardrails and transparency

Use AI-assisted campaign generation with full visibility into what was generated, confidence in rule validity, and human review before anything goes live.

Every AI-generated configuration includes an explanation of why each mechanic, rule, and default was chosen — giving your team full context for review and approval.

Human review before publish ensures no AI-generated campaign reaches production without explicit team approval — the model assists, it doesn't autonomously deploy.
Configuration auditability shows exactly what the AI generated versus what was manually adjusted, providing clear attribution for every rule and setting in the final experience.
Policy-aligned generation respects brand guidelines, budget constraints, and compliance requirements that you configure once and the AI applies across every generated campaign.

Analytics & outcomes

Track how AI-assisted campaign creation impacts speed, quality, and performance — then use those insights to refine generation patterns.

Time-to-launch tracking compares AI-assisted campaign creation against manual builds — quantifying the actual speed improvement across different campaign types.
Draft acceptance rate measures how often AI-generated first drafts are published with minimal changes, indicating generation quality and alignment with team expectations.
Iteration-to-impact analysis connects the number of AI refinement rounds to final campaign performance — showing how conversational optimization affects engagement outcomes.

Integrations

AI-generated campaigns deploy to every channel and integrate with your existing tools — the generation pipeline produces standard platform objects, not proprietary formats.

Builder export APIs let you extract AI-generated campaign configurations for use in external systems, CI/CD pipelines, or version control workflows.
Event model compatibility ensures AI-generated scoring rules and triggers work with your existing event ingestion pipeline — no special event formats required.
Embed-ready flows mean every AI-generated experience can be deployed as a standalone microsite or embedded component immediately after generation and review.