Popular AI tools
View all →NotebookLM
NotebookLM ingests PDFs, docs, and slides you provide, answers with inline references, and can turn dense material into spoken audio overviews—aimed at students, researchers, and analysts who need traceability more than generic chat.
Bolt
Bolt targets rapid UI shells, marketing sites, and mobile prototypes with hosting and GitHub sync—use it when speed matters more than bespoke backend complexity.
Gemini
Gemini pairs conversational answers with strong Google Workspace and Search adjacency—useful when your prompts mix text, images, and quick research across languages.
GitHub Copilot
Copilot meets developers where PRs and issues already live—inline suggestions, workspace-aware chat, and agent flows that can touch multiple files inside VS Code or JetBrains.
Replit Agent
Describe a product, iterate in the design canvas, and let Replit Agent scaffold code, dependencies, and deploys—popular with students and indie hackers validating ideas in hours.
ChatGPT
ChatGPT spans everyday Q&A, long-form writing, code explanation, and image or file inputs—plus GPTs and connectors when you need repeatable workflows instead of one-off chats.
Claude
Claude shines when you need to load large PDFs, compare versions, or iterate on nuanced prose—team features and projects help keep institutional knowledge in one thread.
DeepSeek
DeepSeek is a go-to when you want chain-of-thought style answers, math-heavy prompts, or repository-scale coding help without burning premium credits.
MCP picks
More →Agent Protocol MCP
Implements the Agent Protocol standard so MCP clients can coordinate with external agent frameworks using a shared task, step, and artifact schema—useful when you want Claude or Codex to hand off to a specialized agent.
OpenAPI MCP
Loads OpenAPI specs and exposes API endpoint inspection, parameter validation, and example generation to MCP clients so agents can reason about REST surfaces without leaving the codebase.
Azure MCP
Connects Azure resources—App Service, Cosmos DB, Key Vault, and Logic Apps—to MCP clients so agents can query configs, inspect deployments, and retrieve diagnostics without leaving the coding surface.
Slackbot MCP
Extends the official Slack MCP with message drafting, channel management, and workflow trigger capabilities so agents can send summaries, create channels, or kick off approved workflows on behalf of users.
Temporal MCP
Exposes Temporal workflows, executions, namespaces, and search attributes to MCP clients so agents can inspect long-running business processes, debug stuck workflows, and trigger new runs from the editor.
AWS MCP
Bridges AWS API operations—EC2, S3, Lambda, IAM, and CloudWatch—to MCP clients so agents can inspect infrastructure, tail logs, and propose changes using the same credentials already wired in your team.
Skills to try
More →Fine-tuning preparation
Curates,清洗, and formats training datasets for fine-tuning—deduplication, quality filtering, and output formatting—so the resulting model actually improves on your target behavior.
Evaluation and benchmarking
Builds eval suites with ground-truth answers, automated scoring, and regression detection so you know whether model or prompt changes actually improve outcomes before shipping.
Multi-agent orchestration
Coordinates multiple AI agents on shared tasks with explicit handoffs, conflict resolution, and result aggregation—so parallel work stays coherent instead of fragmenting into inconsistent outputs.
AI cost optimization
Audits token usage, model selection, caching strategy, and prompt compression so teams scale AI features without runaway inference bills—particularly relevant for high-volume agentic workflows.
Prompt engineering
Crafts prompts with explicit context, role framing, output constraints, and citation requirements so model responses are consistent, grounded, and actionable for downstream tasks.
RAG implementation
Builds retrieval-augmented generation pipelines: document chunking, embedding, indexing, reranking, and answer synthesis—so assistants ground responses in your own data instead of generic training knowledge.