AI agents you can actually budget for

Stop paying full price every time an agent runs.

Most platforms bill you for thinking the same thought twice. Smithi plans once. Every run after is cheaper, more predictable, and auditable.

app.smithi.ai/studio

Agent Builder

Hi! I'm here to help you create an AI agent. What would you like your agent to do?
Send me a Slack message when GitHub PRs need review
Here's the plan we'll run every time. Review it once, and every future run reuses it.

Generated Plan

Reused on every run
🔗Connect to GitHub
👀Monitor PR review requests
🎯Filter for your assignments
💬Send Slack notification

Deployment isn't the finish line.

The demo shipped. The pilot went live. Then came the operational tail nobody planned for.

Smithi works on launch day and still works on day 90.

The plan-once model

Plan it once. Run it efficiently forever.

Most platforms improvise every run, paying to re-think the same task. Smithi turns each use case into a durable plan, then reuses it. Inspect, version, roll back.

Improvise vs. plan once
Improvisation-first agentEvery run
Re-reason task · Re-plan steps · Re-call tools · Return result
Smithi, plan-onceRun #2 and beyond
Load saved plan · Execute steps · Return result

The thinking cost is paid once. Everything after is execution.

Compounding gains

Tighter every time it runs.

Most software behaves the same on day one and day one thousand. Agents do the opposite. Instructions get longer, errors pile up, behavior changes week to week. Smithi reverses the curve.

Cache

Steps that repeat with identical inputs stop paying for re-reasoning.

Prune

Tool calls nobody reads downstream get trimmed.

Route

Each step goes to the cheapest model that clears the bar, not the priciest by default.

Built in, not bolted on

Everything your team doesn't have to build.

Skip the six-month platform project. These come with the product, not as homework.

Platform CVE patching, handled on our side
Traces, logs, and replay for every run
Hard spend ceilings and budget alerts
RBAC and team workspaces out of the box
Per-step model routing, cheapest model that clears the bar
Long-term memory that does not silently degrade
Approval gates, dry-runs, and rollbacks
Accuracy monitoring on every tool call

Who Smithi is built for

Four roles, same two asks: predictable cost and reliable runs.

For the team that owns the budget and the risk

Agents your finance and security teams can sign off on

  • Spending limits and alerts, per agent or per team
  • SOC2, HIPAA, and GDPR-ready controls
  • Access roles, shared workspaces, and approvals built in

For engineers who do not want to be the platform team

Ship the agent, not the scaffolding around it

  • Plans you can inspect, versions you can roll back
  • Accuracy checks on every tool call
  • Python and TypeScript SDKs that plug into your CI

For the people who run the workflow

Automations that behave the same way every Monday

  • Describe the work in plain English, get a plan you can read
  • Consistent results, whoever runs it and whenever
  • Review and approve changes before they go live

For builders keeping one eye on the credit card

Scale without a surprise invoice

  • Free tier that does not hide the features you actually need
  • Hard spending caps from day one
  • Integrations, login, and monitoring included

How Smithi compares after launch day

The rows that matter once the demo is over.

Capability
DIY agents
Managed agent platforms
Smithi
Total cost predictability
Costs grow with every run
Usage-based with few controls
Hard ceilings, per-agent budgets, alerts
Plan optimization over time
Manual, engineer time required
Some compile the graph; step execution still reruns
Automatic, plans tighten with usage
Cost ceilings and alerts
Build it yourself
Dashboards only, no enforcement
Enforced limits, proactive alerts
Tool-call reliability tracking
Ad hoc logs
Surface-level metrics
Per-call accuracy and drift detection
Approval gates and dry-run
Custom code
Limited, often per-workflow only
Built in, per step
Post-deployment auditability
Grep through logs
Traces only; no plan versioning or approvals
Inspectable, versioned plans and traces
Multi-model cost routing
Hardcoded per agent
Provider-locked or manual per-agent config
Per-step routing to the cheapest capable model
SOC2, HIPAA, GDPR posture
Your problem
Varies by vendor
Covered, with documented controls
RBAC and team workspaces
Hand-rolled
Often missing or thin
First-class, out of the box
Upgrade stability
You absorb every breaking change
Forced upgrades, surprise regressions
Pinned plan versions, controlled rollouts
Memory management
Fragile, degrades silently
Provider-managed, little visibility
Managed, observable, correctable
Tool catalog security
You vet every tool
Unvetted marketplace risk
Curated catalog, no open marketplace

Simple, predictable pricing

Predictable pricing that scales with you.

MonthlyAnnualSave 20%

Free

Perfect for side projects and experimentation

$0/month
3 agents
1,000 executions/month
Community support
Basic integrations
Most Popular

Professional

For teams shipping to production

$299/month
Unlimited agents
50,000 executions/month
Priority support
All integrations
Advanced analytics

Enterprise

For organizations with compliance needs

Custom
Everything in Professional
Unlimited executions
SOC2/HIPAA/GDPR
Dedicated support
On-premise option

What we believe about running agents in production

The opinions baked into the product, stated plainly.

Deployment is day zero, not the finish line.

Most platforms optimize for the demo. We optimize for month three, when your costs, your accuracy, and your security posture all start to matter more than your launch post.

Governance should be the default, not the upgrade.

Budgets, approvals, RBAC, and audit trails belong in every tier. Treating them as enterprise add-ons is how teams end up with agents they cannot safely turn off.

Agents that pay for themselves, not the other way around.

See the plan, the cost ceiling, and the audit trail before you deploy a single agent.