# Decillion AI Review A shared project room where specialist AI agents and human collaborators work together, billed by usage rather than seats. ## Editor's Score: 58/100 Capability lands at 14 because the agent marketplace and sandbox are real differentiators, but the actual depth of the catalog and agent quality cannot be verified from any independent source, and the platform lacks the workflow breadth of Y Build or the governance layer of TRam Studio. Ease of use scores 16: the credit-pack model and slash-command controls suggest a thoughtfully designed interface, but there are no docs, tutorials, or onboarding materials findable publicly to confirm low friction for new users. Value earns 18, the strongest sub-score, because the no-markup token pricing and no-seat-fee model are concrete and verifiable commitments that most competitors do not make; the $20 minimum entry and transparent per-minute compute billing are genuinely fair for the target user. Delivery drops to 10 because zero independent reviews, case studies, or user sentiment exist in public sources, making it impossible to confirm the platform delivers on its claims; combined with the submitted pricing model being listed as FREEMIUM when the live page shows no free tier, there is a meaningful gap between what is claimed and what can be verified. ## Pros - No markup on model provider token rates: the per-million prices shown in the agent catalog match the underlying provider's public API pricing exactly, which is a concrete and verifiable commitment most agent platforms do not make. - No seat fee for human collaborators: inviting a co-founder or contractor into a project costs nothing beyond the credits the agents actually consume, which keeps small-team costs predictable. - Unified Linux sandbox and GUI desktop on one VM: computer use and sandbox tasks share a single machine billed at 12 credits per minute, avoiding double-billing for what is functionally the same compute resource. ## Cons - No free tier and no trial credits confirmed on the pricing page: the minimum entry point is a $20 credit pack, which means there is no zero-cost way to evaluate whether the agent catalog meets your specific needs before spending money. - The platform is early-stage with thin independent coverage: no third-party reviews, benchmarks, or case studies were findable, making it impossible to verify how well the agents actually perform on real workloads compared to Y Build or Orkas. - App Store purchases carry a price premium: the same $20 credit pack costs approximately $22.99 through the App Store because Apple's cut is passed to the buyer, creating a meaningful price difference depending on how you top up. ## Pricing Paid. - Credit Pack - Small: $20 - Credit Pack - Medium: $50 - Credit Pack - Large: $100 Pricing reflects what we saw at the time of review (2026-09). Confirm current pricing on the official site. Category: AI Agents & Automation (https://aitoolseekers.com/category/ai-agents-automation) Official site: https://decillionai.com/ Last verified by a human: 2026-09-24 Reviewed by a human at AI Tool Seekers, a hand-reviewed AI tools directory. Every listed tool is verified by a person before publishing. Scores are editorial opinions from a fixed rubric (capability, ease of use, value, delivery on promise) and cannot be bought; there is no pay-to-rank. Directory: https://aitoolseekers.com This review: https://aitoolseekers.com/tools/decillion-ai Methodology: https://aitoolseekers.com/how-verification-works ## Verdict Decillion AI suits co-founders and small teams who want a single shared workspace where AI agents and humans operate side by side without paying per-seat fees. Its credit-pack model with no markup on provider token rates is genuinely transparent, but the platform is early-stage and lacks the workflow depth of more established agent tools. Teams that need auditable enterprise automation or proven integrations should look at TRam Studio instead. Best for: Small founding teams running AI agents and human collaborators in one shared project Not for: Enterprise teams needing governance, auditability, or deep integration libraries ## Overview Decillion AI is a multi-agent workspace built around a single shared project room. You describe an outcome, the platform assembles a team of specialist AI agents, and you can invite human collaborators into the same space without paying an extra seat fee. The core pitch is that context stays in one place rather than scattered across separate tools and chat threads. What makes Decillion distinct from most agent platforms is its pricing architecture. Rather than a monthly subscription, you buy credit packs and spend them as agents work. Model tokens are billed at the same public per-million rates the underlying providers charge, with no added percentage on top. Computer and sandbox time runs at 12 credits per minute on a Linux VM that doubles as both the sandbox and the graphical desktop, so you are not paying for two separate machines. The wallet always receives the advertised credit amount regardless of whether you buy through the web or the App Store (where Apple's cut raises the sticker price to roughly $22.99 for the $20 pack). The platform also ships a set of chat commands that give users fine-grained control over what context and tools each message uses. The /ask command keeps conversation history but skips sandbox tools; /btw skips both history and the sandbox; /fresh skips history only. These are small but concrete affordances that suggest the team is thinking carefully about compute costs on the user's behalf. Decillion is clearly early. The homepage describes the product in broad strokes, and independent coverage is thin. The agent marketplace catalog exists but its depth is unverified from public sources. Buyers should treat this as a product worth watching rather than a mature platform with a proven track record. ## Who should use it Decillion fits a co-founder pair or a small startup team that wants AI agents handling research, drafting, or code tasks inside the same room where the humans are making decisions. The usage-based model works well when workloads are uneven: a week of heavy agent activity followed by a quiet week costs only what was actually consumed, not a flat monthly fee regardless of use. Anyone running a regulated workflow, needing a full audit trail, or managing a larger team with role-based permissions should look elsewhere. TRam Studio is the better fit there: it is built explicitly for enterprise governance and auditability on Azure, and it has a pilot program that Decillion does not appear to offer. Similarly, teams that want a local-first, open-source setup with a visible agent coordination layer should consider Orkas instead. ## FAQ Q: Is there a free plan or trial? A: The pricing page does not list a free tier or trial credits. The minimum entry point is a $20 credit pack for 2,000 credits. Q: How much does it cost to run an AI agent for an hour? A: Computer and sandbox time costs 12 credits per minute, so one hour of continuous VM use costs 720 credits, which is $7.20 at the $20-per-2,000-credits rate. Token costs for the model running on that machine are additional and vary by the agent's listed provider rate. Q: Do I pay more if I invite a teammate? A: No. Adding a human collaborator to a project carries no seat fee. You only pay for the credits agents consume while working. Q: Are model token prices marked up? A: No. The pricing page states explicitly that token rates match the underlying provider's public per-million prices with no added percentage. Default fallback rates are 300 credits per 1M input tokens and 1,500 credits per 1M output tokens, but listed agents use their own stated rates. Q: Can I withdraw unused credits? A: Prepaid credits cannot be withdrawn. Only settled creator earnings held in USD can be withdrawn from the wallet. Q: Does buying through the App Store cost more? A: Yes. The $20 web pack costs approximately $22.99 on the App Store, the $50 pack approximately $57.99, and the $100 pack approximately $114.99, because Apple's cut is passed to the buyer.