WHAT STEVE-1 BUILDS

From a landing page to the most complex AI agent imaginable.

One system, the whole stack — strategy, build, launch, and 24/7 operation.

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The reliable input STEVE-1 needs is rarely "clean source code" — it's the intended behavior. That's why the same system can build a marketing funnel, a multi-tenant SaaS platform, an autonomous agent, or a full ad-buying engine. Below is the capability map. Every item ships through the same test-first, reversible, security-gated pipeline described in How It Works.

1. AI agents & autonomous systems

Not chatbot demos — agents that run real operations.

• Outreach, triage, research, monitoring, and ops agents that act on a schedule or on events, 24/7.
• Multi-agent systems where a planner decomposes a goal and dispatches specialized workers — the same architecture STEVE-1 runs on itself.
• Human-in-the-loop by default: irreversible or externally-visible actions are gated on explicit approval.

2. Full-stack software & SaaS

• Web apps, multi-tenant SaaS platforms, dashboards, internal tools, admin consoles, and APIs.
• Designed, built, deployed, and maintained end-to-end — including auth, billing, and data layers.
• Born measurable: reporting, A/B hooks, and analytics structured in from the start, not bolted on.

3. The ad-campaign engine

The growth machine, run by an automated marketing brain with human strategists on top.

• Meta, TikTok and Google campaigns — audience, creative, bidding and scaling, managed end-to-end.
• A strategy brain that plans, a creative factory that produces, and a connector layer that executes against the real ad APIs.
• Always-ask spend controls and ban-prevention treated as first-class — launches start paused, nothing spends without sign-off.

4. Cinematic creative at machine speed

• High-velocity video and ad-creative production — the visuals that stop the scroll.
• Generated, iterated, and tested at a pace a manual creative team can't match, with human art direction on top.

5. Automation & ops

• The manual work that eats your margin — pipelines, reporting, follow-up, fulfillment — automated and running around the clock.
• Self-healing watchdogs and monitoring so the systems stay up without a human babysitting them.

6. Data & intelligence

• Proprietary models tuned on your data that turn raw numbers into decisions: what to spend, where, on whom, and when.
• Dashboards and digests that summarize what matters instead of dumping raw metrics.

7. Legacy migrations & anything-to-anything conversion

One of STEVE-1's sharpest edges — and it doesn't depend on clean, readable source.

• It drives the running app through a real screen (vision + actual mouse/keyboard), builds a behavior map from what the app actually does, derives a stack-agnostic spec, then re-implements in the target stack and vision-tests back to parity.
• Source-agnostic: legacy→modern, Flash→HTML5, platform→platform. The reliable input is the running behavior, not 15-year-old source.
• Every converted feature still goes through the regression pipeline, so parity is proven, not hoped for.

This turns an existential platform risk into a managed, test-verified migration.

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The pattern under all of it

If you can describe the outcome, STEVE-1 can build the system that produces it — and prove it works before it ships. See How It Works for the discipline behind every line, or book a call to scope your project.