AI First

Where AI First sits

AI First is the hardest entry in this batch to pin down, and the difficulty is the review. The catalog description says it lets businesses create autonomous AI agents for sales, customer support, and HR without coding — which matches the product as it appeared on AI directories through 2026: a cloud OS where you configure a team of named, memory-bearing agents, wire them to thousands of tools, set triggers, and let the machine run 24/7. That product still exists in some form; the sign-up page at aifirst.app/auth still advertises 'The Autonomous Company Operating System' and 3,000+ connected tools. But the homepage a visitor actually lands on today is a different company story entirely: a Portuguese-language site selling 'operational intelligence for companies that lead', pitching a connect-comprehend-decide-execute architecture with two named products — Gênese, which organizes every entity, relationship, and business rule into a context layer, and Tars, which executes within limits, approvals, and policies — delivered in the cloud or on-premise by a Brazilian engineering team through an executive diagnostic sales process. Two product identities are sharing one domain, and I could not get the two to reconcile without sitting through a sales call, which I did not do in this window.

So this review is a documented state-of-play rather than a test report, and I will be explicit about where the evidence thins out.

What it actually does

The older, still-advertised layer is an agent platform. You describe requirements and get autonomous agents with long-term memory and tool access that execute end-to-end workflows across sales, marketing, and operations. There is a no-code builder for creating custom agents in minutes, a marketplace where you can hire pre-built specialists, and a creator economy where agent authors sell their agents for recurring revenue. Agents interact with each other and with humans across channels like WhatsApp, Slack, email, and Microsoft Teams, with a structured approval layer so people stay informed. The integration claim varies by surface: 3,000+ tools on the sign-up page, 8,000+ including WhatsApp, Slack, email, and CRMs on one directory listing — I record the vendor's own lower figure and treat the larger one as a marketing artifact.

The newer layer is enterprise operational intelligence in the Brazilian mid-market and enterprise lane: connect ERPs, CRMs, documents, sensors, and human knowledge; organize that into Gênese's model of the business; let models reason over the complete picture; and let Tars execute inside governance boundaries with every action auditable and reversible. The value framing is margin, speed, and control — finding invisible losses, compressing weeks of analysis into minutes, and scaling autonomy without losing authority. Cloud or on-premise deployment and an auditability pitch are aimed squarely at governance-conscious buyers, and the whole motion is sales-led: 'Agendar diagnóstico estratégico' with a promise to map the opportunity, estimate impact, and design a proof of value. That is a consultancy posture, not a self-serve tool posture.

Pricing, at time of writing: nothing is published on the current site, and the third-party record contradicts itself badly. One directory lists an Individual plan at $93.74 a month in credits, Enterprise Basic at $74.95 (minimum 6 users), Enterprise Starter at $84.40 (from 30 users), and a custom Enterprise Premium from 100 users, with up to 40% off yearly and the claim that 100% of the subscription returns as AI processing credits. Another lists Individual at $49 a month including $94 of credits, Enterprise Basic at $399 including $450 for up to 6 users, and Enterprise Starter at $2,200 for up to 31 users. A third describes a separate local macOS/Windows agent-OS app sold at R$499 a month (Pro, 4,000 credits) and R$999 (Max, 10,000 credits), activated after a call, alongside a custom lane where delivered applications are scoped, built in 4 to 8 weeks with a fixed date, and handed over with source code, infrastructure keys, documentation, and a 30-day warranty. Those three price lists cannot all be current. I record null for every hard price with the vendor site as the source, because publishing any of these numbers as fact would be laundering a directory's snapshot as a price.

My testing notes

Three observations. First, pricing archaeology is the feature test here. When four directories publish four different numbers and the vendor publishes none, the honest conclusion is that the commercial terms are negotiated, the public record is stale, and any comparison site listing a single 'from' price for this product is guessing. For a tool whose buyers are businesses making staffing-alternative calculations, that opacity is a real defect: you cannot model ROI until you are in a sales conversation, and you cannot benchmark the conversation afterward.

Second, the credit-based model underneath the self-serve lane deserves scrutiny even if the numbers are murky. The consistent shape across sources is credits that map to agent compute, plans that cap simultaneous tasks (2 to 3 on individual tiers, 5 to 20 on enterprise tiers), and agent-count limits (10 to 30 and up) on team plans. Heavy multi-agent workloads — the always-on heartbeat loops and supervisor hierarchies one reviewer describes — can burn the monthly credit allowance before the month ends, which is exactly the workload the marketing invites. Ask in the diagnostic what a typical heavy workflow costs in credits per day, and get it in writing.

Third, the delivered-application lane is the clearest thing about the current business and the one part I would consider defensibly priced if the numbers hold: a scoped build in 4 to 8 weeks with a fixed date and full handover beats the open-ended retainer most agencies offer. But that is dev-shop economics — a different budget class from a $94-a-month agent subscription — and a reader who came here for a no-code tool for HR workflows needs to know the company on the other end of that domain is increasingly in the business of building systems for you, not selling you a seat.

What it does not do

There is no self-serve pricing on the current site and, per one reviewer, plans are activated after a call rather than at a checkout. There is no free plan on any listing. There is no published documentation set I could verify in this window beyond a /help link referenced by one tracker, and no third-party accuracy or reliability benchmark for agent output exists in the public record. The catalog's claim of autonomous agents for HR and customer support is verifiable only as marketing copy — I found no case studies with named results outside the site's own framing. English-speaking buyers face a language shift: the current site is Portuguese-first with a Brazil-local-engineering pitch, which may matter for support and data-residency questions alike. And if your problem is one script or one automation, the same reviewer's point stands: cheaper self-serve automation tools will do that job for a fraction of the cost.

Verdict

There may be a strong product here — the connect-comprehend-decide-execute architecture is a sensible shape, and the governance-first framing (auditable, reversible, approval-gated actions) is what enterprises actually need from agents. But I review what a reader can verify, and today that is thin: a marketing site in transition, contradictory third-party pricing, no self-serve path, and no independent evidence of outcomes. I rate it 2.5 for a core proposition that is coherent but unverifiable from outside, unassessable value while prices stay unpublished, a sales-led usability path, an ecosystem that currently consists of a diagnostic funnel rather than docs and community, and minimal reliability signals. If you run a Brazilian mid-market operation and the diagnostic is free, take the meeting — just insist on the credit burn math, references you can call, and a fixed-scope pilot before you sign anything.

Sources

• https://aifirst.app/
• https://aifirst.app/auth
• https://creati.ai/ai-tools/ai-first
• https://toolify.ai/tool/ai-first
• https://rightaichoice.com/tools/ai-first
• https://www.futurepedia.io/tool/ai-first
• https://toolstory.ai/tools/69890/ai-first
• https://theail.ist/tools/ai-first
• https://mossai.org/ai/aifirst-app
• https://botai.uno/tools/ai-first