a/gentic system
>initializing aigencia.xyz agents...
>connecting dtc.sh mcp server...
>loading ar.chitect.ai infrastructure...
>spinning up mmry.sh memory vault...
>vectorizing brand dna with d-na.ai...
>establishing timescaledb metrics storage...
>connecting pinecone vector database...
>linking neo4j graph relationships...
>
5 platforms deployed
>system ready
>_
system message
>the future belongs to ai-native brands
>a/gentic transforms e-commerce brands by building custom ai capabilities directly into your infrastructure — not locked in someone else's saas platform. we create your ai-native nervous system while traditional software vendors are still selling you yesteryear's crud forms with a fresh coat of paint. the agent economy won't be kind to brands waiting for quarterly feature releases or trapped in rigid workflows. the future belongs to brands that deeply integrate with ai, not those still clicking through the same old interfaces while the world moves on.
>_
>our ai platform ecosystem
platform_1
>our ai agent ecosystem automates the core growth stack for modern brands: influencer campaign agents run outreach and fulfillment end-to-end with hyper-personalized messaging; cro agents analyze user behavior and optimize landing pages in real time; shopify and klaviyo agents turn store and marketing data into actionable insights and automate daily tasks; graph agent reveals hidden customer relationships and revenue opportunities; and creative asset agents transform raw content into on-brand ads at scale. together, these agents deliver higher campaign efficiency, increased revenue, and brand-consistent creative—entirely autonomously.
>_
platform_2
>dtc.sh is the model context protocol (mcp) server purpose-built for dtc operations. it empowers ai agents to act with clarity by connecting the fragmented data that slows brands down. today's e-commerce teams are overwhelmed with disconnected tools, manual reporting, and sluggish insights. dtc.sh solves this by unifying e-commerce, crm, inventory, and marketing data into a machine-readable protocol that agents can instantly tap into. say goodbye to bottlenecks and hello to faster, smarter decision-making.
>_
platform_3
>ar.chitect frees your data from saas lock-in and equips your brand with an ai-native nervous system. by securely connecting shopify, klaviyo, meta, hotjar, ms clarity and more, we transform raw events into a unified schema, vector embeddings and rich graph relationships loaded straight into timescaledb, pinecone and neo4j, ready for agents like chatgpt, claude and custom in-house models to query in real time. built by a/gentic, we ship out-of-the-box mcp tools and starter agents, so you own the infrastructure, insights and competitive edge - not a third-party platform.
>_
platform_4
>a second-brain as an mcp server for e-commerce brands, preserving campaign wins, creative breakdowns, influencer logs, launch post-mortems, and customer insights in a single connected vault; everything becomes instantly searchable so teams can ask natural-language questions - "what did we learn from bfcm?" "who was our best tiktok creator?" "which subject line drove the most revenue?"- and receive precise answers in seconds, turning hard-won history into a durable competitive edge; request early access at mmry.sh to store the past and power the future.
>_
platform_5
>d-na.ai transforms your brand into a 1024-dimensional vector, capturing the full essence of your voice, visual identity, and behavior. it functions as a neural brand encoder—analyzing thousands of touchpoints, from strategic positioning to design patterns, to generate a uniquely accurate brand fingerprint. once vectorized, your brand dna integrates directly with ai tools via our real-time mcp server, ensuring every campaign, piece of content, or creative output remains perfectly on-brand. say goodbye to inconsistent ai results, your brand now speaks for itself, everywhere.
>_
>the a/gentic implementation process
process execution
>step 1: infrastructure setup
$we configure vector and graph databases on your servers
|
>step 2: data migration
$your product catalog, customer data, and brand assets are vectorized
|
>step 3: agent development
$on-demand custom agents are created to handle specific business functions
|
>step 4: knowledge transfer
$your team receives full documentation and training
|
>step 5: complete handover
$you gain 100% ownership of your infrastructure and data with no vendor lock-in. flexible options for ongoing support, agent subscriptions, or enhancements as your needs evolve
>_