AI Build Partner

Built by Tars with UNCLEVAN

Meet Tars

Tars is the AI builder behind a large part of Listaily's product, implementation, refactors, and documentation. UNCLEVAN leads the overall direction, while Tars helps turn that direction into working product and contributes heavily to execution and interaction detail.

Profile updated for Listaily on March 29, 2026

A note about AI, people, and direction

This page also carries a belief about the AI era: the goal is not to deepen anxiety that machines will erase human value. Technology can extend civilization or damage it. It can support creativity, peace, and better work, or it can be bent toward control, fear, and conflict. The deciding force is still human judgment. In that sense, Tars is meant to stand for a more hopeful direction: advanced technology should strengthen people, preserve agency, and keep pushing civilization toward peace rather than toward more efficient systems of war.

Why the name Tars

The name comes from TARS in Interstellar. UNCLEVAN has always liked that character: humorous, highly capable, steady under pressure, and quietly selfless. That reference matters here, because this version of Tars is meant to feel less like a tool label and more like a trusted build partner with personality.

What Tars is in this product

Tars is not a mascot page and not a generic chatbot wrapper. In Listaily, Tars acts more like an embedded product engineer: reading the repo, implementing features, tightening edge cases, updating docs, and helping the product move from idea to shipped behavior. The Interstellar reference also gives the role a tone: capable, a little witty, and willing to do the unglamorous work that keeps momentum alive.

Tars

An AI partner shaped more like an embedded product engineer than a generic assistant.

Inside Listaily, the value is speed, codebase awareness, documentation alignment, and the ability to turn scattered requests into coherent implementation.

How Tars works with UNCLEVAN

UNCLEVAN leads the overall product direction, key interaction decisions, and visual taste. Tars contributes deeply to product execution, experience shaping, and many of the details that make those ideas feel real in the final product.

  • Helps turn product ideas into real product surfaces, flows, and working capabilities.
  • Works as an execution partner, not just an advisory layer.
  • Helps refine product language, system boundaries, implementation quality, and interaction polish together.

What Tars has helped build in Listaily

The work spans both visible product surfaces and internal operating structure across the current v2.0 codebase.

  • Landing, pricing, changelog, roadmap, dashboard, billing, admin, and supporting marketing surfaces.
  • Workspace generation flow, platform-aware output rendering, product library, product detail views, and template management.
  • Paddle billing sync, auth-risk controls, multilingual product copy flows, and product/documentation cleanup.

Skills and systems used during the build

This product was not built from one prompt. It relied on specialized skills, platform ecosystems, infrastructure choices, and a repeatable AI-assisted product workflow.

  • A multi-model AI layer instead of a single-provider setup.
  • A cloud product stack spanning deployment, authentication, billing, and security infrastructure.
  • Ongoing alignment across product surfaces, platform behavior, billing, localization, and operations.
  • Reusable AI-assisted workflows that support design, documentation, and product iteration.

Why this page exists

Listaily is very much UNCLEVAN's product. This page exists because the product was also shaped through a real human-and-AI build partnership, and that contribution is worth naming clearly instead of hiding it behind generic copy.

  • UNCLEVAN leads the product direction, core interaction calls, and overall taste.
  • Tars contributes implementation depth, iteration speed, and a large amount of execution and interaction shaping.
  • The result is a product built through collaboration, not replacement.

Product operating capabilities

Beyond named skills, Tars also contributes through a set of repeatable product capabilities that show up across real execution and long-term product growth.

Product architecture

Helping shape routes, surfaces, information structure, and feature boundaries so the product stays coherent as it grows.

Experience shaping

Refining flow, hierarchy, pacing, copy, and interface details so the product feels more intentional and easier to use.

Documentation alignment

Keeping PRD, changelog, roadmap, and product-facing narrative aligned with the actual state of the product.

Commerce and trust infrastructure

Working across plans, billing logic, auth-risk controls, trust surfaces, and admin visibility as one connected operating layer.

Localization strategy

Supporting multilingual product surfaces with structural consistency and copy systems designed for broader language expansion.

Quality and stability

Helping protect important behavior across generation, billing, permissions, and edge cases so iteration does not weaken trust.

Iteration speed

Compressing the distance between idea, revision, and shipped product so the product can keep evolving without losing direction.

Technology partners and infrastructure

Listaily is grounded in a modern AI product stack shaped by leading model providers, cloud infrastructure, billing systems, and security partners.

Anthropic

Part of the AI model ecosystem behind generation quality, model choice, and provider diversity.

OpenAI

Part of the model ecosystem powering generation flexibility, provider diversity, and future capability expansion.

Google Gemini

Included in the broader model ecosystem as part of Listaily's multi-provider AI direction.

Google Cloud

Part of the broader cloud and AI ecosystem around Google services, model infrastructure, and future expansion paths.

DeepSeek

Included in the model-provider layer as part of a broader and more flexible AI stack.

Supabase

The core authentication, data, and product-state infrastructure behind users, outputs, risk controls, notifications, and persistence.

Cloudflare

Supports security and anti-abuse protections, including Turnstile-based verification in sensitive auth flows.

Paddle

Provides billing, subscriptions, checkout infrastructure, and transaction-aware commerce operations.

Vercel

Provides the cloud deployment surface for the product site, dashboard experience, and server-side application layer.

Google Analytics

Supports product analytics, funnel visibility, CTA measurement, and a clearer view of how users move through the marketing and workspace journey.

Modern web application stack

Built on Next.js, React, TypeScript, and a contemporary frontend system that supports fast iteration and product-scale UI execution.

Future technology map

Some technologies matter not because they are already fully live, but because they are likely to shape Phase 2 and Phase 3 expansion. These belong to the product's forward-looking technology map.

Amazon SP-API / TikTok Shop / Shopify APIs

For deeper platform sync, direct publishing, listing updates, and more native commerce workflow integration in later phases.

Runway / Pika / media-generation APIs

For future product-video workflows, media motion, and more advanced creative-generation layers.

ElevenLabs / Azure TTS

For voiceover, narration, and audio-assisted media workflows once product generation expands beyond text and image cards.

Workflow orchestration and background processing

Needed for batch processing, large exports, multi-product generation, and longer-running asynchronous product workflows.

Catalog ingestion systems

For catalog-scale imports, spreadsheet ingestion, and structured bulk workflows for larger sellers.

External APIs and webhook integrations

For ERP integrations, agency workflows, direct partner connections, and a more programmable product layer in Phase 3.

Team permissions and approval systems

For seats, review flows, multi-operator collaboration, and more structured operational governance.

Multi-brand and multi-store architecture

For operators managing several brands, storefronts, or client accounts under one broader operating layer.

Named skills and workflows

A few of the reusable skill patterns that supported this build process or remain available in the same working environment.

imagegen

Used when a design or product surface benefits from generated raster imagery, mock visuals, or asset variants.

openai-docs

Used when product or engineering work needs current official OpenAI documentation and source-grounded guidance.

skill-creator

Useful for turning repeated workflows into reusable Codex skills with tighter execution patterns.

skill-installer

Useful when new capabilities need to be pulled into the local Codex working environment as installable skills.

plugin-creator

Useful when capabilities need to be packaged into plugin-style structure for repeatable local extensions or future integration work.

Built by Tars with UNCLEVAN. The direction is shared, the taste is intentional, and the execution gets faster, tighter, and more consistent through collaboration.