AgentX

Make specialized AI Agents work together. AgentX is the best place to build AI teams

[AgentX @AgentX_AI]

Stop spending hours on decks

Generate polished PowerPoint/PDF presentations in seconds - for market analysis, investment decks, and more

https://t.co/2JMeSgb6Yi

#AI #Agents #Productivity #Presentations #Automation

[AgentX @AgentX_AI]

Shout-out to the @Golf__mcp launch on Product Hunt today.

If you’re working with MCP/AI agents in enterprise, worth a look 👇

https://t.co/1dqpzO6D98

[AgentX @AgentX_AI]

If your team is adopting MCP/AI agents, governance gets real - fast.

@Golf__mcp helps with discovery + policy enforcement + audit trails (built for enterprise).

They’re live on Product Hunt today 👇
https://t.co/1dqpzO7aYG

[AgentX @AgentX_AI]

Enterprise insight: the best fixes are often “make it complete,” not “make it smarter.”

Standardize the workflow. Force verification. Make containment/remediation/verification explicit.

Part 3: https://t.co/MMhEyByxP3

#AIEvaluations #LLMOps #EnterpriseAI #AIAgents #AIQuality #AIObservability

[AgentX @AgentX_AI]

After a bad eval, most teams do:
tweak blindly → rerun → hope

Better: debug like production engineering. Inspect traces, find root cause, fix the workflow.

Part 3: https://t.co/MMhEyByxP3

#AIEvaluations #EnterpriseAI #LLMOps #AIAgents #AIQuality #AgenticAI #AgentX

[AgentX @AgentX_AI]

Hot take: average score alone is a trap.

In production, high average + high variance often = incidents. Stability signals (range/variance/consistency) matter.

Part 2: https://t.co/sVg0QbsWK5

#AIEvaluations #LLMOps #EnterpriseAI #AIAgents #AIObservability #AIQuality

[AgentX @AgentX_AI]

One eval run isn’t reliability. It’s a demo.

Enterprise evals = QA: multiple trials per scenario + full traces for debugging + variance tracking (latency/tokens/tool use).

Part 2: https://t.co/sVg0QbsoUx

#AIEvaluations #LLMOps #EnterpriseAI #AIAgents #AIQuality #AIObservability #AgentX

[AgentX @AgentX_AI]

If your “eval dataset” is a list of prompts, you’re not testing reliability - you’re testing vibes.

Enterprise datasets should include: approvals + permissions, multi-step workflows, follow-ups, evidence.

Part 1: https://t.co/Y6e2wXM8sk

#AIEvaluations #EnterpriseAI #AIAgents #LLMOps #AIQuality #AIObservability

[AgentX @AgentX_AI]

Most teams “improve” agents by tweaking prompts + hoping nothing breaks.

Enterprise standard for 2026: agentic evaluations - repeatable tests for workflow adherence, tool correctness, evidence, and regressions.

Part 1 (Datasets): https://t.co/Y6e2wXMGhS

#AIEvaluations #AgenticEvaluations #EnterpriseAI #LLMOps #AIAgents #AIQuality #AgentX

[AgentX @AgentX_AI]

Must have read in 2026!

[AgentX @AgentX_AI]

Must have read in 2026!

[AgentX @AgentX_AI]

https://t.co/nsiOnZQjew

[AgentX @AgentX_AI]

🚀 We just released our AI Agent Evaluation Guide - the blueprint for agentic evaluations in 2026.

Stop shipping agents on vibes. Start shipping with:

- Evaluation datasets that reflect real workflows

- Repeatable multi-run testing (track variance, not just averages)

- Actionable diagnostics to make agents measurably better

- Regression-proof iteration (no more blind guesses)

Built and battle-tested with #Opus 4.6 in the loop for deep analysis + clearer remediation.

Read it here 👇
https://t.co/V4emlH9FHP

#AgenticEvaluations #AIEvaluations #AIAgents #LLMOps #AIQuality #AIObservability #EnterpriseAI #MCP #AgentX #ClaudeOpus46

[AgentX @AgentX_AI]

https://t.co/nsiOnZQjew

[EverMind @evermind]

4. Create AI agents that browse and interact with @AgentX_AI

AgentX is a no-code multi-agent AI platform that enables users to build, deploy, and manage specialized AI agents that can work together as a team.

Boost your multi-agent efficiency and reduce token usage by integrating EverMemOS as your memory layer

[AgentX @AgentX_AI]

Shipping faster with agent teams - orchestrate multiple specialized agents in parallel (review, test, docs, deploy).

Claude 4.6 Opus is live on AgentX.

https://t.co/Vfz9HOOnBu

#AgentTeams #AIAgents #DeveloperTools #AIEngineering #AgentX #Claude

[AgentX @AgentX_AI]

#Claude 4.6 Opus is now available on AgentX ✅

Better coding + reasoning

1M-token context window (beta)

New agent features + full migration guide
https://t.co/Vfz9HOOVr2

#Claude #Anthropic #AgentX #AIAgents #MultiAgent #Automation

[AgentX @AgentX_AI]

AgentX 🤝 NVIDIA Inception.
We’re building a faster path from idea → prototype → scalable AI agents.

https://t.co/il8rxIQ3bg

#NVIDIAInception #EnterpriseTech #GenAI #AgentX

[AgentX @AgentX_AI]

AgentX Evaluations help test agent behavior across runs
Analyze tool usage, reliability, and outputs

https://t.co/rxAsajFgpR

#LLMOps #Evals #AIQuality #Agents #Testing

[AgentX @AgentX_AI]

@AgentX_AI 🤝 @NVIDIA Inception.
Enterprise AI development just got faster

https://t.co/il8rxIPvlI

#NVIDIAInception #EnterpriseAI #GenAI #AgentX

[AgentX @AgentX_AI]

🎬 AI video generation just leveled up

Create cinematic content with Sora 2
Scale fast with Veo 3.1 and Veo 3.1 Fast

https://t.co/CdsvAzPVfP

#AIVideo #GenerativeAI #Creators #Agents #Automation