Agentic FC vs FirstDraft

Agentic FC and FirstDraft are both lifestyle tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Agentic FC

Agentic FC is a Go-based, MIT-licensed football management simulation where AI agents control a club through MCP tool calls — reading match state, setting tactics, reacting to news — while a human watches through a terminal TUI with ASCII match scenes and live commentary. The engine is deterministic and seeded, so simulations replay identically, which matters when you are debugging agent decision loops rather than blaming random variance. The agent shapes the in-game Manager's mindset rather than clicking menus, making this a concrete testbed for studying how an LLM actually behaves inside a continuous decision loop. The project has two stars on GitHub and zero open pull requests — the community is early. Teams pushing beyond the built-in MCP tool surface will be writing Go extensions against a codebase that is still accumulating commits.

FirstDraft

Point your camera at a landmark, a menu item, a street sign, or a plant, and Spotter returns an AI-generated synopsis plus a follow-up chat thread anchored to that specific Spot. Every identification is saved, so the app builds a geotagged journal as you move. The free tier caps you at three identifications per day — fine for a slow afternoon at one museum, not for a full day of wandering an unfamiliar city. Heavy users hit that ceiling before lunch. The paid tier removes the cap, and there is no API or self-hosted option, so your data and availability are entirely dependent on Damien Lutrin's infrastructure.

Attribute	Agentic FC	FirstDraft
Pricing	Free	Paid
Price	—	$6.99/month or $39.99/year (Premium)
Free trial	No	No
Open source	Yes	No
Has API	Yes	No
Self-hosted option	Yes	No
Platforms	Terminal / TUI, Go runtime	iOS, Android
Pros	Deterministic seeded simulation engine, so you can replay the exact same season with a different agent strategy and know any behavioral difference is the agent's fault — not a random dice roll. MCP-native agent control loop, meaning your agent stays in a continuous read-decide-observe cycle across match events rather than firing a single prompt and waiting, which makes multi-step reasoning failures visible and debuggable. Terminal TUI with ASCII match scenes and commentary, so you can watch agent decisions play out in real time without building a frontend — useful for demos and for catching the moment an agent tactically loses the plot. MIT-licensed Go source with self-hosting support, so you run the simulation on your own hardware, keep all agent traces private, and modify the engine without asking anyone for access. AGENTS.md and CLAUDE.md contributor files included, which means the project explicitly documents how agents are expected to interact with the codebase — reducing the guesswork when wiring up a new agent client.	Per-Spot chat threads scoped to the photographed subject, so follow-up questions about visiting hours, nearby food, or physical access return contextually accurate answers rather than generic travel advice. Automatic journal-building from every identification, which means you leave a trip with a documented, AI-annotated record of what you saw without manually writing anything down. Single-tap identification across landmarks, menus, signage, wildlife, and flora, so you don't need to switch between a translation app, a plant identifier, and a travel guide. Concise, information-dense synopses on first snap, which means you get usable context in seconds rather than scanning multiple search results while standing on a street corner.
Cons	The MCP tool surface covers what the README describes — Manager mindset control and match observation — but multi-club league management, a transfer market, and deep squad statistics are not documented as available endpoints; teams whose research question depends on those features hit a wall before their first experiment and are writing Go extensions against early-stage source. The project has two GitHub stars and no open pull requests at the time of scraping, which means bug reports go unanswered until the maintainer picks them up, documentation gaps stay gaps, and any integration breakage after a Go dependency update is yours to diagnose alone. Teams that need a proven, high-traffic agent sandbox with existing community tooling — scenario libraries, recorded agent runs, public leaderboards — will abandon this for a dedicated research environment like OpenSpiel or a custom gym, because Agentic FC's community does not yet provide those resources.	The free tier allows three identifications per day — a traveler walking through a market, a historic district, and a nature area in a single day exceeds that before mid-afternoon. Teams or families sharing one account hit the ceiling even faster. The next step is paying for a subscription or skipping snaps. No API access and no self-hosted option means travel companies, tour operators, or developers who want to embed this identification capability into their own apps cannot do so. Teams needing programmable image-to-context functionality move to Google Cloud Vision, OpenAI Vision, or similar API-first services instead. There is no offline or cached mode described on the page, so in areas with unreliable mobile data — rural routes, underground sites, remote nature reserves — the core identification feature stops working entirely, with no documented fallback.

Bottom line

Agentic FC is free while FirstDraft is paid; Agentic FC is open source; only Agentic FC exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Agentic FC and FirstDraft?

Agentic FC is Free and open source, while FirstDraft is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Agentic FC better than FirstDraft?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.