Agent Deck vs Mijotia

Agent Deck and Mijotia 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.

Agent Deck

Spotter takes a photo and returns an identification plus a written synopsis, then opens a chat thread so you can ask follow-up questions about that specific subject — visiting hours, nearby restaurants, whether the plant is edible. Every identification saves as a 'Spot,' building a location-tagged log of your trip. The workflow is single-shot: point, identify, chat. There is no batch processing, no API, no way to pipe identifications into a broader system. The free tier caps you at three identifications per day and five chat messages, which runs out fast on a full day of sightseeing.

Mijotia

The core loop is one-shot: enter your pantry items and dietary preferences, receive a recipe. There is no iteration, no follow-up refinement, no agent running a multi-step meal plan. For a single weeknight dinner decision, that directness is a feature — fast, frictionless, done. The free tier caps monthly use at five generations, which covers casual cooks but runs dry for anyone planning a full week of meals. Paid access removes that ceiling. Shared recipe history and favorites support household coordination, which means one family member's saved recipes show up for the next one.

Attribute	Agent Deck	Mijotia
Pricing	Paid	Paid
Price	$6.99/month or $39.99/year	$5.99/month
Free trial	No	No
Open source	No	No
Has API	No	No
Self-hosted option	No	No
Platforms	iOS, Android	Web, Mobile (implied from free account creation and usage flow)
Released	2024	—
Pros	Instant synopsis on identification — not just a label but historical or contextual detail — so you avoid the follow-up search that usually eats five minutes after a translation app gives you a single word. Per-Spot chat threads keep follow-up questions tied to the original photo, which means you are not re-explaining context every time you ask about visiting hours or safe consumption of a plant. Automatic location-tagged Spot logging builds a travel journal passively, so you have a searchable record of identifications without manually writing anything down. Covers a wide identification surface — landmarks, food, wildlife, plants, foreign-language text — in a single app, so you avoid juggling four separate category-specific tools on a trip.	Ingredient-first recipe generation, so you avoid the failure mode of finding a recipe you like and then discovering you need three things you don't have. Dietary restriction and preference filtering built into the input layer, which means families with gluten-free or vegetarian requirements don't get recipes they have to manually screen. Shared recipe history and saved favorites across a household, so the recipe one family member liked last week is findable by the next person planning dinner. No credit card required to start, which means you can validate whether the output quality meets your standards before committing to a paid subscription. Focused one-shot output removes decision fatigue — you get a recipe, not a list of forty options to scroll through.
Cons	The free tier caps identifications at three per day and chat at five messages: on a full day of travel or a wildlife-heavy hike, you hit that ceiling before noon, and everything after requires a paid upgrade or waiting until midnight. There is no API and no documented export for Spots, so any team or developer who wants to pull identification data into a travel app, CRM, or research pipeline has no path forward — they abandon Spotter for a vision API like Google Cloud Vision or OpenAI's image input, which return raw data they can route however they need. The tool is cloud-only with no self-hosted option, which means identification requests require a live data connection — in remote hiking areas or international roaming situations with spotty signal, the core workflow fails at exactly the moment it is most needed.	The free tier is capped at five generations per month. A household cooking at home five nights a week exhausts the free allowance in a single week, at which point continued use requires a paid subscription or stopping. The one-shot model produces a single recipe with no iteration. If the output doesn't fit — wrong complexity, unfamiliar technique, ingredient you forgot to list — there is no refinement loop. You regenerate and spend another token. There is no API access, so developers or teams wanting to embed ingredient-based recipe logic into a meal-planning app or grocery tool cannot build on top of Mijotia. They route to a competitor or build the capability themselves. Households managing more than two distinct dietary profiles simultaneously — say, a vegan, a nut allergy, and a picky eater — have no multi-constraint planning mode. The one-shot generation handles the constraints you specify but cannot negotiate between competing requirements across multiple people in a single session, which is the point at which families with complex needs switch to a dedicated multi-user meal-planning platform.

Bottom line

Agent Deck and Mijotia are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.