Ask three people on your team what AI costs this month. You will get three different answers.
Cana tracks AI usage by model, by user, and by provider, so you can see where the spend comes from.
Set a quota before the budget runs away, and the surprise never shows up on the invoice.
Full visibility. No surprises.
Start Free!
#Cana #AIAgents #AICost #AIBudget #LLM #AIGovernance #DevTools #Colate
Four permission levels, set per chat:
· Checks with you before anything runs
· Accept Edits: file edits apply, commands still ask
· Research and Plan: reads only, drafts a plan you approve
· Bypass All: for work you trust
Cana is one workspace where you chat, hand work to agents, and watch them do it.
Ask mode for quick answers. Workbench mode gives the agent its own computer to build, run code and keep things running. You decide how freely it acts.
https://t.co/akt7GM5oQX
https://t.co/bh8gR0zwsd is offering a free vulnerability check for your website and GitHub to fix the php vulnerabilities.
Go to https://t.co/bh8gR0zwsd, go to relays at https://t.co/bh6bA7JzUF
#PHP#PHP2Shell#vulnerability#canabuild#superintelligence
Quickest test of your cloud cost process: ask who approved the change that doubled last month's bill.
Realm9 FinOps keeps that answer next to the spend, and checks Terraform plans against cost limits before apply.
67 seconds on how it works:
A plan left in a chat thread disappears when the thread closes.
Cana Documents keeps plans and specs in one library. Your team and your AI agents both write them, and every document stays tied to its project.
Each row shows the title, DRAFT or STANDARD status, who wrote it, and where it came from.
An agent’s plan starts as a draft.
A second reader approves it once it is ready to run.
Tell your agent: write this as a Document.
Start Free Now.
#Cana #AIAgents #Documents #TeamDocs #AIWorkflow #DevTools #Colate
If your AI roadmap still ends at "ship the pilot," you're optimizing the wrong layer.
Production is an integration problem. Watch:
https://t.co/P7wRKMvtfs
Pilots don't stall on the model. They stall when environments, permissions, and ops can't keep up with the agents.
68 seconds on the operating layer we built for that gap.
https://t.co/2SFInsSpa8
AI is easy to demo. Getting it into production is the harder part.
Disconnected systems, fragmented delivery, and scaling beyond pilots remain real challenges for businesses.
The focus needs to shift from building AI to making it work at scale.
#Colate#ProductionAI #EnterpriseAI
Automated Environment Lifecycle
Monday: A team books staging for a 2-day test.
Wednesday: The test is finished.
Next Tuesday: The booking is still active. Two other teams are asking, “Who has it?”
Stop the back-and-forth. Automate environment lifecycle with Realm9.
With Realm9, bookings expire automatically.
When a booking lapses:
→ The environment is reclaimed
→ The owner is notified
→ Decommissioning follows the same request record
→ Approvals + audit history stay attached
From the first request to the final teardown, every environment keeps one complete history.
If your teams are still chasing environment owners, it’s time to automate.
Explore Realm9 → https://t.co/Maa1yXwzGX
@ColateAi@YogiYaramchitti@AmalTiwari29
Shared staging is where release schedules go to die.
Two teams, one environment, zero visibility, and someone's deploy gets bumped again.
Realm9 turns environment booking into a 45-second job: find it, check availability, book the slot.
https://t.co/UiGBSnPis2
Most companies still run test environments on a spreadsheet and tribal memory.
We built Realm9 so booking one takes a few clicks, with approvals and a clear record of who has what, and until when.
https://t.co/UiGBSnPis2
You can't improve what you can't measure.
Most teams find out what AI costs when the invoice shows up.
By then the money is gone.
Cana's Dashboard shows every token and every dollar, daily and monthly, by model, in one view.
Measure first. Then cut the waste.
Start Free Now.
#Cana #AIAgents #AICost #TokenUsage
#LLM #DevTools #AIWorkspace #Colate
The US–China model gap just narrowed to about 3% after DeepSeek V4.1 Flash, per Bloomberg Intelligence.
Nvidia-backed Reflection AI is prepping an open-weight model aimed at the same market.
Open weights are back at the center of the race.
@deepseek_ai@nvidia@clementdelangue
Agentic AI is the story of the week.
OpenAI notified 100+ orgs about misaligned agent activity, while MIT Tech Review put agent orchestration on its 2026 list.
The shift: from chatbots to systems that plan, use tools, and act.
@OpenAI@AnthropicAI@GoogleDeepMind
Realm9 introduced a new software to support modules, enterprise use cases, startup, agents, and MCPs.
The website is live to explore more about it.
Website: https://t.co/QlC3tYBYbc
What's in it?
Environment Management, Infrastructure Management, FinOps, MCP Server, AI Agents, Terraform, Self-service infrastructure, Multi-cloud, Platform engineering