We design, build, and deploy custom AI automation systems for advertising teams — from autonomous social content pipelines to real-time paid ad optimization — all running on enterprise-grade AWS infrastructure.
Here's exactly what a GIGGLEADS deployment looks like inside your organization — real products, real interfaces, real automation running 24/7.
Each GIGGLEADS agent is purpose-built for your business using LangChain and AWS Bedrock. They perform multi-step reasoning — qualifying leads, enriching CRM data, generating ad creative, and managing campaign budgets — all without human intervention. They connect to your existing tools through secure API integrations and continuously improve through feedback loops.
Our chatbots go far beyond scripted FAQ responses. Built on Flowise with RAG against your proprietary knowledge base, they handle nuanced customer questions, escalate intelligently to human agents, and capture high-intent leads 24/7. Deploy across web, SMS, WhatsApp, and Slack with full conversation analytics and HIPAA-ready data handling.
Our AI pipelines handle the entire social media lifecycle: trend analysis, copy generation, image creation through generative models, hashtag optimization, scheduling, publishing, and engagement analytics. Each pipeline runs on AWS Lambda for serverless scalability, automatically adapting its content strategy based on real-time audience engagement signals.
Our intelligent ad engine manages your Google Ads, Meta Ads, and programmatic display portfolio through AI-powered bid management, audience segmentation, creative testing, and budget allocation. It continuously ingests performance telemetry, runs predictive models to forecast conversion probability, and executes real-time optimizations across thousands of ad variations.
Every GIGGLEADS workflow runs on native Amazon Web Services for enterprise-grade reliability, security, and elastic scalability.
All GIGGLEADS agents route through Amazon Bedrock for foundation model access — Anthropic Claude, Meta Llama, and Amazon Titan. We use Bedrock's managed infrastructure for prompt routing, model selection, and guardrails enforcement, ensuring every AI interaction is secure, compliant, and cost-optimized.
Social media pipelines and ad optimization workflows execute as event-driven Lambda functions. Clients pay only for compute consumed, with auto-scaling from zero to thousands of concurrent executions, deployed through CI/CD pipelines for zero-downtime updates.
Long-running AI agents — the real-time bidding engine and multi-turn chatbot services — run as containerized tasks on Amazon ECS with Fargate. Full process isolation, deterministic resource allocation, and horizontal auto-scaling.
Campaign state, agent memory, conversation histories, and performance telemetry in DynamoDB for single-digit millisecond reads. DynamoDB Streams trigger downstream workflows the instant a conversion event is recorded.
Every plan includes AWS-hosted infrastructure, dedicated support, and full access to our AI agent platform.
GIGGLEADS STUDIO LLC was founded by Daniel Strait with a clear thesis: advertising teams are buried in repetitive, manual workflows that AI agents can execute faster, more cheaply, and with fewer errors. After years building automation systems for digital marketing teams, Daniel launched GIGGLEADS to productize those solutions into a scalable, AWS-native platform that any growth-stage company or enterprise can deploy in weeks.
Headquartered in Elmira, New York, GIGGLEADS STUDIO operates as a registered LLC focused exclusively on the intersection of large language models, agentic AI frameworks, and performance advertising. We serve clients across SaaS, e-commerce, healthcare, and financial services.
Make enterprise-grade AI automation accessible to every advertiser — replacing fragile manual workflows with self-optimizing AI agents on battle-tested cloud infrastructure.
Schedule a free AI audit with our team. We'll analyze your current advertising workflows, identify the highest-impact automation opportunities, and deliver a custom proposal.
Daniel will review your submission and respond within one business day.