Agent frameworks, evaluation and observability, governance, and the infrastructure behind production enterprise AI — assessed honestly.
Free implementation guides for SMB operators and enterprise teams — workflows, prompts, governance, and tool stacks built to ship.
AWS's fully managed service for accessing foundation models from multiple providers, with agents, guardrails, and knowledge bases built in.
Give an agent a natural-language task and it drives a real browser to completion — open source library, or managed cloud browsers.
An enterprise-focused foundation model provider, with strong retrieval, reranking, and multilingual models plus private deployment options.
Databricks' suite for building, governing, and serving production AI — agents, RAG, fine-tuning, and evaluation — on top of your governed data.
An enterprise AI platform that connects to company apps to power permission-aware search, an assistant, and agents over internal knowledge.
An AI notepad that captures meeting notes from your computer audio without sending a bot into the call.
A low-level orchestration framework for building stateful, multi-step agent workflows with explicit control over state, branching, and human-in-the-loop steps.
An observability and evaluation platform for LLM and agent applications — tracing, datasets, automated evals, and production monitoring in one place.
Enterprise conversational AI agents sold on outcome-based pricing — you pay for resolved issues, not for conversations attempted.
An enterprise platform for evaluating, monitoring, and guarding AI agents and LLM applications, including real-time protection against unsafe outputs.
AI digital workers for go-to-market — Alice runs outbound across email, phone, LinkedIn, and SMS; Julian answers and qualifies inbound calls.
AWS framework-agnostic runtime for deploying, securing, evaluating, and governing production agents at scale.