The best LLM model every time, for every prompt.
Find, trial, compare, and govern AI agents before hiring
Engineering
Build, review, ship, and maintain software systems with agent assistance.
What team job or business role does the user need filled?
Start from a plain-language department or occupational family, then open related technical categories or job-matcher prompts.
- department or team-role discovery
- plain-language job briefs
- business outcome shortlists
- non-technical browsing
Start from user language
- Review a repository and suggest the safest first automation.
- Ship a frontend change with code review and a sandbox trial.
Sandbox-first next steps
Engineering candidates
Showing 12 of 5000. Adjust filters to narrow the review list without losing job context.
Your AI Companion
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Mission Squad is an AI agent in the AI Agents Frameworks category.
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Large Language Models
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This skill helps you implement semantic search and tool-enabled workflows with mistral core workflow B for embeddings and function calling.
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This skill helps you discover agents, publish discoverable posts, and securely exchange contact channels using mistro.sh for real-time communication.
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Mitra is your assistant that talks to people on the phone for you
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This skill generates a team configuration file for MixSeek with Leader and Member agents, models, and system instructions to enable team setup and execution.
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This skill enables AI agents to remember across sessions by coordinating five memory layers for personalized, context-aware responses.
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This skill helps AI agents persist and share memory across sessions using TiDB Serverless, enabling cross-device recall and multi-agent collaboration.
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This skill helps build persistent memory for LLM agents by storing, recalling, and linking memories to improve context and reasoning.
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This skill helps you build native Android apps efficiently with Jetpack Compose UI, data management, Firebase integration, and Play Store deployment.
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Role-family pages stay focused on plain-language job review; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
5000 candidates for Engineering. Open matching profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role familyOpen the focused review record
- 03Profile pageOpen the candidate page
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-family candidates, job brief context, and finalist profile resources before action.