Zapier defined the category and it is still the biggest name in it. The catalog now spans roughly 9,000 apps, and the product has grown from "Zaps" into a bundled suite: Agents for AI teammates, Copilot for natural language building, Tables for data, Interfaces for internal tools, Canvas for process mapping, Forms, and Chatbots. For simple app-to-app plumbing with near-zero learning curve, Zapier remains the safe default.
But Zapier's move into AI has exposed the seams in its architecture. AI is priced as a surcharge on a task-based billing model: as of June 2026, AI steps consume tasks at a multiplier depending on the model tier you pick, up to five times the base rate for premium models. The platform is a collection of eight products acquired and built at different times, each with its own concepts to learn. And the fundamentals that matter once automation touches sensitive systems, per-run cost attribution, credential scoping enforced outside the model, and self-hosted deployment, are still missing.
General Input starts from the opposite end. It was built AI-native: you describe the workflow, the platform builds it, and the LLM is the engine rather than a billable add-on step. Every run shows its exact cost. Every credential is scoped to the operations a workflow actually needs. And when compliance requires it, the whole platform deploys on your infrastructure.
What Zapier does well
- Catalog breadth. Roughly 9,000 apps. If an obscure tool has a public API, Zapier probably connects to it. This is the moat, and it is real.
- Zero learning curve for simple Zaps. "New row in Sheets, send a Slack message" takes two minutes and never breaks.
- A mature ecosystem. Templates, community, agencies, and a decade of documentation. You will never lack a tutorial.
- The bundled suite. Tables, Interfaces, and Forms let light internal tools live next to the automations that feed them.
How they compare
| General Input | Zapier | |
|---|---|---|
| App integrationsZapier has the largest catalog in the industry. General Input covers 500+ business systems with 30,000+ documented operations. | 500+ | ~9,000 |
| Natural language workflow builderBoth build from a prompt. General Input builds the whole workflow, including code steps and agents. | ||
| AI-native executionGeneral Input treats the model as the engine. Zapier prices AI as surcharged steps in a task pipeline. | ||
| Model choiceGeneral Input: two dozen managed models from nine labs, plus your own keys and subscriptions. Zapier: model tiers priced at 1x to 5x task multipliers. | ||
| Deterministic code workflows | ||
| Human-in-the-loop approvals | ||
| Per-run cost transparencyGeneral Input shows the dollar cost of every run, broken down by step. Zapier bills abstract tasks whose cost depends on plan tier and AI multipliers. | ||
| Least-privilege credential scopingAgent Firewall limits each credential to specific operations, enforced outside the model context. | ||
| Use your existing AI subscriptionsToken Tunnel runs your ChatGPT, Claude, Gemini, or Grok plan inside workflows at no extra model cost. | ||
| Self-hosted / on-prem deployment | ||
| Built for non-technical users |
Where they differ
The AI tax
Zapier's June 2026 pricing change made the economics of AI automation explicit: AI steps are billed by model tier, at one, three, or five times the task rate, on top of plans that already meter every step. A workflow that summarizes tickets with a premium model burns tasks five times faster than the same workflow moving data. Zapier even added a circuit breaker that pauses a Zap for approval when a single step consumes 75 tasks, which tells you how unpredictable run costs have become.
General Input's billing is the inverse: credits map directly to real usage ($25 buys 4,000 credits), and every execution shows exactly what it cost, broken down by model tokens, integration calls, and compute. There is no multiplier arithmetic, and if you want the model cost to be zero, Token Tunnel routes your existing AI subscriptions or local models into your workflows.
One platform vs. eight products
Zapier's suite grew by accretion: Zaps, Agents, Copilot, Tables, Interfaces, Forms, Canvas, and Chatbots each have their own mental model, and AI agents live in a separate product with separate behavior from your Zaps. In General Input there is one system. App workflows, deterministic code workflows, and AI agents are three types of the same resource, built in the same chat, sharing the same credentials, permissions, execution history, and cost reporting. Skills let you package instructions once and reuse them across all of them, and Apps let you spin up interactive dashboards and tools from a prompt when a workflow needs a front end.
Security posture
Zapier stores credentials and passes data through its cloud, full stop. General Input encrypts credentials, keeps them out of the model's context entirely, and adds the Agent Firewall: per-operation scoping so a workflow holding your Stripe key can refund but never create payouts, or read your CRM but never delete from it, enforced at the platform layer where a prompt injection cannot reach it. Every credential use is logged. For regulated teams, the entire platform deploys on-prem, which Zapier does not offer at any price.
When the work needs judgment
Zapier's sweet spot is still the deterministic hop: event in App A, action in App B. The moment the middle of the workflow requires reading a document, making a decision, or writing something a customer will see, you are gluing AI steps onto a task pipeline. General Input was designed for exactly that middle: agents reason across tools mid-run, approval gates put a human before the irreversible step, and voice dictation and chat make building feel like delegating to a colleague rather than configuring a pipeline.
Pricing
| General Input | Zapier | |
|---|---|---|
| Free tierZapier: 100 tasks/month, two-step Zaps. General Input: free plan with starting credits, no step limits. | ||
| Entry paid planZapier Professional starts at $29.99/month for 750 tasks. General Input plans include monthly credits with pay-as-you-go top-ups. | Credits | $29.99/mo |
| AI surchargeZapier AI steps cost 1x-5x the task rate by model tier. General Input has no AI multiplier. | ||
| Exact per-run cost reporting |
When to use Zapier
If your automations are high-volume, deterministic, and app-to-app, and one of your tools is too obscure for anyone else's catalog, Zapier is hard to beat. Teams with hundreds of simple Zaps and no AI reasoning in the critical path have little reason to migrate.
When to use General Input
- AI is the point, not a step. Workflows that read, decide, and write need a platform where the model is the engine and not a 5x surcharge.
- Finance asks what automation costs. Exact per-run cost, per-workflow attribution, and credit-based billing you can actually forecast.
- Security reviews your stack. Credential isolation from the model, per-operation firewall scoping, exportable audit logs, and on-prem deployment.
- You want model leverage. Swap between two dozen models from nine labs as the frontier moves, or plug in the subscriptions you already pay for.
- One system, not eight. Workflows, agents, code, skills, and apps in a single workspace with one permission model.
FAQs
Can General Input replace all my Zaps?
If a Zap touches one of the 500+ integrations General Input supports, yes, and rebuilding is usually as fast as pasting the Zap's description into the workflow builder. For very long-tail apps, keep those Zaps and let a webhook hand off to General Input for the AI-heavy part.
Is 500+ integrations enough compared to 9,000?
The catalogs overlap where it matters: CRM, email, messaging, billing, databases, support, project management, and the systems mid-market teams actually run on. Zapier's long tail is real, but most teams' automation footprint fits comfortably inside 500 well-documented integrations, and General Input adds new ones weekly.
Does General Input have an equivalent to Zapier Agents?
Yes, agents are a first-class workflow type, not a separate product. They share credentials, monitoring, approvals, and cost reporting with every other workflow in your workspace.
Better together
Plenty of teams run both: Zapier for the long tail of simple triggers, General Input for the workflows where AI judgment, cost visibility, and governance matter. A webhook connects the two in minutes.