Promptise Team
The Promptise Team builds Promptise Foundry, an open-source Python framework for AI agents and MCP servers. We write these guides from that work: each one explains a single idea in plain terms, then shows runnable Python code that puts it into practice.
[n.01/02]> latest guides
- Oct 18, 2026What Is MCP (Model Context Protocol)? A Developer's GuideWhat MCP is and how it works: hosts, clients, servers, tools, resources, transports and SDK 2.x. Build a small MCP server and connect an agent to it.Beginner · 18 min
- Oct 18, 2026AI Agent Evals in CI: Run Them on Every Pull RequestRun AI agent evals in CI on every pull request: test tool choice, arguments, answers and safety, keep cost and flakiness down, with GitHub Actions.Intermediate · 18 min
- Oct 18, 2026AI Agent Cost Tracking: Tokens and Cost per Run and UserTrack AI agent token usage and cost per model call, run, user and agent: price tables, cost ledgers, alerts and limits. Runnable code with real output.Intermediate · 16 min
- Oct 18, 2026What Is an LLM Guardrail? Types, Examples and LimitsWhat an LLM guardrail is: a check on what goes into and out of a model. Input, output and tool guardrails, a real example, and what guardrails can't do.Beginner · 7 min
- Oct 18, 2026OpenRouter AI Agent with MCP: Many Models in PromptiseBuild an OpenRouter AI agent with MCP tools: one key for many models, route only to providers that support tools, add attribution headers, and fix errors.Beginner · 11 min
- Oct 18, 2026How to Run, Debug and Deploy an AI Agent in PythonRun, debug and deploy a Python AI agent project with one command: a package.json-style manifest, live traces, a terminal UI, JSON logs and an API.Beginner · 15 min
- Oct 18, 2026What Is an AI Agent Framework? When You Need OneWhat an AI agent framework does: the tool loop, model access, limits, approvals and tracing. When you need one and when plain API calls are enough.Beginner · 7 min
- Oct 18, 2026AI Agent Production Checklist: What to Check Before LaunchAn AI agent production checklist: security, approvals, guardrails, limits, cost, observability, evals, deployment and incident response, with code.Intermediate · 17 min
- Oct 18, 2026Migrate from AutoGen: Agent Framework, Promptise and MoreAutoGen is archived. Compare migration paths (Microsoft Agent Framework, AG2, Promptise), map agents, group chats and termination, and port an example.Intermediate · 18 min
- Oct 18, 2026Gemini AI Agent with MCP: Use Google Models in PromptiseBuild a Gemini AI agent with MCP tools: get an AI Studio key, pick a current model id, set reasoning effort, use Vertex AI on Google Cloud, fix errors.Beginner · 11 min
- Oct 18, 2026What Is an AI Agent? Definition, How It Works, ExamplesWhat an AI agent is: a model that calls tools in a loop until a goal is met. How the loop works, a real example, agents vs chatbots and workflows, FAQs.Beginner · 7 min
- Oct 18, 2026CrewAI Alternatives: 7 Options and How to Migrate (2026)CrewAI alternatives compared: why teams look, 7 options and when each fits, a crew rebuilt in Promptise, and a map of crews, agents, tasks and flows.Intermediate · 17 min
[n.02/02]> topics we write about
- Building AI agents in Python
- Models and providers
- Tools and the Model Context Protocol (MCP)
- Memory, context and RAG
- Agent reasoning patterns
- Multi-agent systems
- Guardrails and security
- Human approvals (human-in-the-loop)
- Observability and debugging
- Cost control and rate limits
- Testing and evals
- Runtime, triggers and deployment
- Frameworks and comparisons