Steward*

The description states that Steward is a local macOS agent built using GPT-5.6-Sol via Codex CLI. It turns file tasks (e.g., video compression, format conversion, OCR) into verified one-click recipes that run locally with zero model calls after initial planning.

It includes:

• A live WebSocket UI streaming plan → execute → verify → save
• Saved-command reruns proven to make zero model calls
• A security posture with two independently-found critical issues closed

The core rule is: the recipe is the plan — code added does not augment what the model declared.

Not evidenced:

• Whether the tool actually works outside of the author’s development setup
• If any real-world users or customers exist
• Any actual product delivery or distribution mechanism beyond a hackathon submission

The description states that Steward's thesis is:

"Your computer already knows how to do these things. The internet just charges you rent for them."

It positions itself as an abstraction layer over existing CLI tools, allowing users to perform complex file operations via a one-click interface without needing to know the underlying commands.

Evolution from playful idea:

• Started as a personal solution to lost CLI knowledge
• Grew into a system with parallel agents, workspaces (git worktrees), UI design, security audits, and batch processing constraints

Inference:

The evolution suggests a move from prototype to structured tooling — though no evidence of user feedback or iteration beyond the author’s own development.

Not evidenced:

• How the product is positioned in the market
• Whether it competes with existing tools like Automator, Keyboard Maestro, or CLI-based automation platforms
• Any marketing or branding beyond the hackathon submission

The description states that the inspiration came from:

• The author losing track of CLI commands
• Friends being “floored” by simple CLI automations
• Dad’s friends reacting positively to small automations built for him

Inferred target customer:

• Tech-savvy individuals who use CLI tools regularly but struggle with remembering or reusing them
• People looking for a GUI abstraction over command-line workflows
• Users of macOS who want to automate file tasks without deep technical knowledge

Not evidenced:

• Specific personas or segments
• Customer interviews or usage data
• Any evidence of actual users beyond the author

The description does not state anything about pricing, monetization, or business model.

Inference:

Given that this is a hackathon submission and no revenue or customer data are mentioned, it appears to be a proof-of-concept or prototype with no commercial model at this stage.

Not evidenced:

• Revenue streams
• Pricing tiers or models
• Any indication of monetization plans

The description states that the tool was built using:

• GPT-5.6-Sol via Codex CLI
• Tools like FFmpeg, yt-dlp, whisper.cpp, pandoc, imagemagick, libreoffice, etc.
• Technologies: bash, bun, CSS, HTML, JavaScript, Svelte, TypeScript, Vite, WebSocket, macOS

Key technical elements:

• Local execution engine that never touches the shell during plan execution
• Model only produces a plan — never executes code directly
• Recipes are saved as verified plans with no model calls on rerun
• Security measures include token generation, output confinement, and flag restrictions
• UI built via Codex with parallel workspaces (git worktrees)

Not evidenced:

• Performance benchmarks or scalability data
• Any production deployment or infrastructure details
• Whether the tool supports other platforms beyond macOS

The description states that this is a working local macOS agent submitted to the OpenAI 2026 hackathon.

It includes:

• Recipes for video compression, format conversion, audio loudness, document conversion, OCR, and subtitles
• Live WebSocket UI streaming plan → execute → verify → save
• Saved-command reruns proven to make zero model calls

Not evidenced:

• Any user adoption or feedback
• Customer base or revenue
• Product roadmap or future development plans
• Metrics on usage frequency or retention

The description does not mention any competitors.

Inference:

• Steward appears to be positioned in the space of local automation tools or CLI workflow abstraction platforms
• It may compete with tools like:
  • Automator (macOS)
  • Keyboard Maestro
  • CLI-based automation frameworks
  • AI agents that generate scripts or workflows

Not evidenced:

• Direct competitors
• Market size or competitive positioning
• Any differentiation strategy beyond the “recipe” abstraction

1. No traction or adoption evidence — The tool is described as a hackathon submission with no real-world usage.
2. Dependency on AI tools (Codex, GPT-5.6-Sol) — Reliance on proprietary models may pose long-term sustainability risks.
3. Limited platform support — Only works on macOS; no indication of cross-platform plans.
4. Unverified claims about execution and verification — The description states that verification checks results with real evidence, but there is no independent validation or testing data.
5. Self-reported security posture — Claims of closed security holes are not independently verified.

Not evidenced:

• Any risk mitigation strategies
• Product roadmap or scalability plans

1. What is the actual user base or adoption rate beyond your own use?
2. How does Steward handle edge cases or failures in execution?
3. Are there any known performance bottlenecks or limitations with the current architecture?
4. Is there a plan to support other operating systems beyond macOS?
5. What are the long-term plans for monetization or product evolution?
6. Can you provide more details on how the verification process works in practice?
7. How do you ensure that the recipes remain stable over time as underlying tools evolve?