The Evaluation Problem
There are dozens of AI agent platforms. They all claim to do similar things. Their marketing pages use the same vocabulary. Comparing them based on feature lists does not work because the features that matter most (isolation, security architecture, pricing transparency) are the ones least likely to appear in a comparison table.
This guide provides a framework for evaluating platforms based on the criteria that actually determine whether the deployment succeeds or fails in production.
Criterion 1: Isolation Architecture
This is the single most important factor, and the one most commonly overlooked.
What to ask: How are my agents isolated from other customers’ agents?
Most platforms run all customers’ agents in the same environment, separated by application-level permissions. This means a misconfiguration, vulnerability, or data leak in one customer’s workflow could theoretically affect others.
What to look for:
- Container-level isolation. Each organization gets its own runtime environment, not just separate database rows
- Network isolation. Your agents cannot communicate with other customers’ agents
- Data isolation. Your agent’s context, feedback history, and accumulated knowledge stay within your environment
ClawStaff uses ClawCage, where each organization gets a dedicated container. Your agents, their context, and their data are isolated at the infrastructure level, not just the application level.
Red flags:
- The platform cannot explain its isolation model clearly
- “We use role-based access control” is the entire security answer
- There is no option to inspect or audit what data your agents can access
Criterion 2: Pricing Model
AI agent platforms use wildly different pricing models. Some charge per message, some per task, some per seat, some per API call, and some combine multiple of these into a formula that requires a spreadsheet to understand.
What to ask: What will this cost at 2x, 5x, and 10x my current usage?
What to look for:
- Predictable pricing. You should be able to estimate next month’s bill before it arrives
- Per-agent pricing. You pay for what you deploy, not for usage patterns you cannot control
- No hidden costs. Compute charges, API markups, storage fees, and support tiers should be visible before you sign up
- Scaling economics. The per-unit cost should not increase as you scale
ClawStaff uses per-Claw pricing at $59/month per agent. No message fees, no compute surcharges, no surprise bills. When you compare this to the $5,000-$10,000/month cost of hiring, the economics are clear.
Red flags:
- Pricing requires a “contact sales” conversation to understand
- Per-message or per-token pricing that makes costs unpredictable
- Free tier that does not reflect production costs
- Separate charges for features that should be included (monitoring, logging, basic integrations)
Criterion 3: Integration Approach
Agents are only useful if they can access the tools where your work happens. The integration approach determines how quickly you can deploy and how much maintenance you will do.
What to ask: How does the platform connect to my existing tools? What happens when an integration breaks?
What to look for:
- Native integrations for the tools your team uses daily (Slack, email, documents, project management)
- Standard protocols. OAuth, API keys, webhooks. Not proprietary connectors that lock you in.
- Error handling. What happens when an API rate limit is hit? When a token expires? When a service is down?
- Integration monitoring. Can you see which integrations are healthy and which need attention?
Evaluate based on your actual tool stack, not the total number of integrations the platform claims. 200 integrations are worthless if the three you need are not included.
Red flags:
- Integrations are listed as “coming soon” with no timeline
- Custom integrations require professional services engagement
- No visibility into integration status or health
Criterion 4: Bring Your Own Key (BYOK)
Some teams need to use their own AI model provider accounts for compliance, cost control, or access to specific models.
What to ask: Can I use my own API keys for the underlying model providers? What happens to my data when I do?
What to look for:
- BYOK support. The option to use your own OpenAI, Anthropic, or other provider keys
- Data routing transparency. Clear documentation of where your data goes when using BYOK vs. platform-provided keys
- Model flexibility. The ability to choose which model an agent uses, not a one-size-fits-all default
ClawStaff supports BYOK: bring your own API keys and maintain direct control over your model provider relationship and costs.
Red flags:
- No BYOK option at all
- BYOK is available but the platform still routes data through its own servers
- Model selection is restricted to a single provider
Criterion 5: Orchestration
If you plan to deploy more than one agent, orchestration is not optional. It is the difference between agents that coordinate and agents that create more coordination work for humans.
What to ask: How do multiple agents work together? Who manages task routing and handoffs?
What to look for:
- Built-in orchestrator. A coordination layer that manages task routing, status tracking, and escalation without requiring custom code
- Agent-to-agent communication. Structured handoffs between agents with context preservation
- Escalation rules. Configurable conditions that trigger human involvement
- Visibility. A way to see what all agents are doing, what is pending, and what is blocked
For a deeper understanding of orchestration, see What Is an AI Orchestrator?.
Red flags:
- “Multi-agent” means “you can create multiple agents” but they cannot interact
- Orchestration requires custom code or third-party tools
- No built-in escalation or handoff mechanisms
Criterion 6: Security and Compliance
Security is not a feature checkbox. It is an architecture decision that affects every other capability.
What to ask: What is the security architecture? How is data handled at rest and in transit? What audit capabilities exist?
What to look for:
- Audit trail. Every agent action logged and reviewable
- Scope controls. Ability to restrict agent access (private, team, organization levels)
- Data residency. Clear information about where data is stored and processed
- Encryption. At rest and in transit, as a minimum
- Access management. Role-based access for who can deploy, configure, and review agents
Red flags:
- Security documentation is vague or missing
- No audit trail for agent actions
- No granular access controls
- “Enterprise security” is mentioned but not described
Evaluation Checklist
Use this when comparing platforms:
| Criterion | Weight | Questions to Ask |
|---|---|---|
| Isolation | High | Container-level? Network-level? Data-level? |
| Pricing | High | Predictable? Per-agent? No hidden costs? |
| Integrations | High | Your tools supported? Standard protocols? Error handling? |
| BYOK | Medium | Supported? Data routing transparent? Model flexibility? |
| Orchestration | Medium-High | Built-in? Agent-to-agent handoffs? Escalation rules? |
| Security | High | Audit trail? Scope controls? Encryption? Access management? |
Key Considerations
The right platform is not the one with the most features. It is the one whose architecture matches your requirements for isolation, predictability, and control.
Start by listing your non-negotiables. For most teams, that list includes: data isolation, predictable pricing, and integrations with existing tools. Evaluate two or three platforms against those non-negotiables. The comparison usually narrows quickly.
ClawStaff was designed around these criteria: container isolation, transparent per-agent pricing, BYOK support, and built-in orchestration. But do not take our word for it. Use this framework, evaluate your options, and choose based on what the architecture actually delivers, not what the marketing page claims.