🚀 The ancover si beta is live!
Discover and evaluate AI agents, Skills, tools and MCPs. Build your own specialized Skills with ancover studio.
We’re looking for AI builders to test the platform and share honest feedback.
Want early access? DM us!
https://t.co/vLseZVVYBR
@iavinashtr Hi!
We currently assess submitted MCP content, tool descriptions, declared permissions and dependency signals using static checks and risk gates. We track version changes too. We keep task relevance separate from trust, and withhold a composite score when evidence is missing.
🚀 The ancover si beta is live!
Discover and evaluate AI agents, Skills, tools and MCPs. Build your own specialized Skills with ancover studio.
We’re looking for AI builders to test the platform and share honest feedback.
Want early access? DM us!
https://t.co/vLseZVVYBR
As AI models get better, choosing between them may become less important.
The real advantage will come from what you build around them.
Specialized Skills, reliable tools, better workflows.
The model provides intelligence. The system determines what you can do with it.
@ash_twtz Yeah, eventually, they might all become so good that the differences barely matter. Same capabilities, different names.
At that point, what you build with AI will matter a lot more than which model you use.
@KrynixValdor The difference won’t be who writes code faster, but who makes better decisions.
Exceptional engineers will know how to define problems, evaluate trade-offs, and use AI effectively.
AI can handle execution, but engineering judgment is what makes the difference.
Building with AI shouldn’t mean hours searching for the right tools.
With ancover si, discover and compare agents, Skills, tools and MCPs. Create specialized, reusable AI Skills and turn ideas into real workflows.
Search less. Build faster.
Explore → https://t.co/nc1e9dyMUR
UX feedback: “Our audit was strong, but results needed clarity.
We updated Ancover to explain missing scores, simplify terms, clarify that no issues found isn't a safety guarantee, and add recommendations with a clear next step and why it matters.
Beta open. DM for access 🚀
The fastest AI Skill isn’t always the best one.
Real performance goes beyond speed.
• Accuracy
• Latency (p95)
• Execution cost
• Reliability
• Tool usage
A fast result means nothing if it’s wrong.
Measure what matters. Optimize for real workflows.
“Our AI agent is 10x faster.”
Compared to what?
Without a defined task, baseline and repeatable test conditions, performance claims mean very little.
Good benchmarks need measurable results, reproducible tests and clear limitations.
Evidence first. Claims second.
One successful run doesn’t prove an AI Skill is reliable.
Before trusting it in a real workflow, measure:
• Accuracy
• Latency (p95)
• Execution cost
• Consistency across multiple runs
Real performance requires evidence, not assumptions.
#connect us with others building with #AI 👋
• Saas
• Builders
• Engineers
• Developers
• Founders
What are you guys building recently?
Let’s make some connections 🤝
Something new is coming!
We’re building the official ancover si website to give AI builders a closer look at our platform, its capabilities, and everything we’re creating.
From discovering AI tools to building specialized Skills.
Stay tuned 🚀