What you can build with Promptise.
Most AI agents are chatbots. They wait for a message and answer it. Promptise agents do real work. Each part below shows what you can build. It also shows how other frameworks handle the same thing.
Agents that start on their own.
Most agents wait for a chat message. A Promptise agent starts when something happens. That can be a schedule, a webhook from Stripe or GitHub, a new file, an event or another agent. It works inside your operations day and night.
Every night the agent reconciles yesterday's invoices. When a payment fails, Stripe wakes it to email the customer. When a contract arrives, it flags the risky clauses.
Elsewhere · In other frameworks, agents that start on their own usually need a paid platform. Examples are LangSmith Deployment and CrewAI AMP. The other option is a separate workflow engine such as Temporal. Sources
Turn your API into an MCP server.
Point MCPcast at your OpenAPI spec. It builds a small set of tools that an agent can use well. Risky calls need a person's approval. Tests come with it.
A company's internal API has 300 endpoints. Its agents get a handful of clear tools instead. Every delete asks a person first.
Elsewhere · Google ADK and LangChain can also turn a spec into tools. FastMCP can generate servers from OpenAPI. The review step, the tests and the readiness score are what MCPcast adds. Sources
Make your platform ready for AI agents.
AI agents need a way into your product. Promptise builds it as an MCP server. MCP is the standard interface AI agents use. Sign-in, permissions, approvals and an audit trail come with it. Your own agents and your customers' agents can then use your platform safely.
A SaaS company opens its product to its customers' AI agents. Each agent signs in and sees only its own account. Every action is recorded.
Elsewhere · Every framework here can call MCP servers. None of the six ships an SDK to build production ones. FastMCP is a strong standalone option for that. Sources
Serve every customer with one agent.
Each customer gets their own memory, data, permissions and limits. One customer never sees another's data. You can sell one agent to hundreds of companies.
A SaaS company adds an assistant to every customer workspace. Acme's files and answers never reach Globex.
Elsewhere · Per-user memory is common in other frameworks. A cache separated per customer is not documented in them. Neither are per-customer rate limits outside paid gateways. Sources
Give your agent a goal.
Some work takes days. You give the agent the result you want and a way to check it. It keeps working until the check passes.
A migration of 200 tables runs for several days. It finishes when every table passes validation.
Elsewhere · The other frameworks have parts of this. They work within a single run. Sources
Design how your agent thinks.
Most agents think in one fixed loop. Promptise lets you design the thinking itself. Your agent can plan before it acts. It can check its own work. It can justify every answer.
A claims agent plans each case. It checks every figure against the policy. A person signs off on the decision.
Elsewhere · Graph engines and ready-made patterns are common. LangGraph is built around one. Microsoft Agent Framework, Pydantic AI, Google ADK and CrewAI have them too. Promptise gives you reasoning steps as building blocks. The agent can choose its own path through them. Sources
Set limits your agent can't cross.
You decide what the agent may do alone. For example, three refunds per run or a daily spending cap. At the limit, it stops and asks a person.
A billing agent issues up to three refunds per run. The fourth refund waits for a person.
Elsewhere · Limits on the number of calls are common. A limit on irreversible actions is not documented in the other six. Neither is a built-in loop detector. Sources
Give every agent its own identity.
Each agent signs in through your existing identity provider. It gets only the access it needs. You can switch off one agent without touching the others.
A bank switches off one misbehaving agent in its directory. The other agents keep working.
Elsewhere · Google ADK uses Google service accounts and OAuth. Identity features in CrewAI AMP and LangSmith are paid. SPIFFE is not documented in the other six. Sources
See everything your agent did.
Turn it on with one setting. Every run, model call, tool call, token and cost is recorded. You can watch it live in the terminal or open a report. You can also send it to your own monitoring through OpenTelemetry or Prometheus. Passwords and keys are removed before anything is stored.
A customer asks why the agent refunded them. Support opens that run. They see each step, each tool call and what it cost.
Elsewhere · Other frameworks offer tracing too, often through a hosted product such as LangSmith, Logfire or OpenAI's tracing dashboard. Promptise records it on your own servers and sends it to the tools you already use.
Write prompts like code.
Your prompts decide how the agent behaves. In Promptise you build them from shared parts. You test them before they ship. You can roll back a bad change in seconds.
Fifty support prompts share one refund rule. Legal changes the rule once. The tests show that every prompt still works.
Elsewhere · Prompt templates exist in other frameworks. LangChain's are the closest. Most others offer instruction templates, not a full prompt module. Sources
Run your agent as a real project.
An agent is software. In Promptise it lives in one project folder with its prompts and tools. You watch every step and its cost while you build. The same project runs in production.
A new developer clones the repo. One command starts the agent. They see every tool call and what it costs.
Elsewhere · LangGraph, CrewAI and Google ADK have project CLIs too. ADK and LangGraph Studio also have browser dev UIs. The OpenAI Agents SDK has none. Promptise covers the agent, its MCP servers, dev tools and production in one CLI. Sources
Checked against each framework's own docs.
Each mark links to its source. We read every source on 2026-10-23. "Not in the docs" means we searched the docs and the code and found nothing. It does not mean it can't be built.
Hover a mark for the note, click it for the source. Versions checked: LangGraph 1.2, CrewAI 1.15, OpenAI Agents SDK 0.24, Microsoft Agent Framework 1.23, Pydantic AI 2.60, Google ADK 2.12.