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This Dot Labs has two sides.
One is our Tech Consultancy side, where we have our highly technical teams working with clients, ensuring they never miss a deadline again!
The other side is our media side, where we have podcasts, a YouTube channel filled with workshops, and more!
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What should drive #AI model selection: quality, speed, cost, privacy, or the type of work?
In this State of AI conversation, @robocell explains why the real cost of AI goes far beyond inference and token pricing. Human oversight, rework, and downstream business impact all shape the true ROI of a model choice.
Watch the complete State of AI livestream for the full discussion.
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AI model menus are getting crowded.
This State of AI short asks a simple question: should every user pick a model, or should AI systems route work automatically?
The answer may depend on the job. Choice matters for hands-on work. Automation may need a smarter default.
Watch the full conversation.
#AI #AIAgents #StateOfAI
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Enterprise AI gets more useful when the tools people need are connected to the place where they already build.
@_malcolmadams explains how @IBM Bob brings access to IBM's ecosystem into a familiar development environment, helping reduce context switching while keeping enterprise architecture, security, and monitoring close at hand.
Watch the full episode with @ladyleet for more practical insights on building with AI agents. #EnterpriseAI #AI #DeveloperExperience #IBM
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Unable to catch the latest State of #AI livestream?
Join leaders from @ThisDotLabs for a conversation on the latest releases and strategies you'll need to know about to work at or helm an AI enabled organization.
piped.video/watch?v=KUA9z1p6…
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Building #AI agents is only part of the equation. Teams also need to understand what those agents change.
In this clip, @_malcolmadams explains how @IBM Bob combines agent-building workflows with analytics that can help teams track delivery impact, adoption, and cost. It is a useful reminder that AI development needs visibility, not just velocity.
Watch the full podcast episode with @ladyleet and Malcolm for more on IBM Bob, governance, and enterprise AI. #AI #AIAgents #DeveloperTools #IBM
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The best @reactnative decisions are the ones that still hold up months after launch.
Join us September 30 for the State of #ReactNative panel with @groundcontrol, @ccheever, @mazenchami, @GantLaborde, @BrandonMathis, and Jake Krupski as they dig into architecture, performance, tooling, and long-term maintenance.
Bring your questions. Leave with ideas you can apply to your next build.
ALT State of React Native event graphic featuring Rafael Mendiola, Charlie Cheever, Mazen Chami, Gant Laborde, Brandon Mathis, and Jake Krupski. The virtual panel takes place Tuesday, September 30, 2026, from 12:30 to 2:30 ET.
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State of AI is now live on YouTube!
piped.video/watch?v=KUA9z1p6…
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AI agents are starting to blur the old boundaries around engineering roles.
In this clip, @GroundControl shares what developers may spend more time doing as agents handle more implementation work: designing systems, supplying context, and validating results.
Check out the complete episode👇
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State of #AI is tomorrow!
Join This Dot Labs engineering leaders for a practical discussion on the systems behind AI at scale. We’ll cover what it takes to build reliable AI workflows, and the panel will answer your questions live.
Join us:
events.thisdot.co/state-of-a…
ALT This Dot Labs “State of AI” event graphic featuring Jonathan Fontanez, AI Engineering Lead; Rob Ocel, VP of Innovation; and Elliott Fouts, CTO, with logos for Gemini, VS Code, Claude, and ChatGPT.
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Part 2 of the Agent Control Plane series focuses on evidence at every handoff.
Before the next action runs, what should be validated, recorded, and surfaced to the team?
#AIQuality #AgentOrchestration #ProductionAI
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In Part 1 of this Agent Control Plane series by @jonfontanez, the focus is clear boundaries: what agents can decide, where approvals are required, and how teams keep autonomy useful.
#AIAgents #AgentOrchestration #AI
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The question is not whether #AI code beats human code. It is whether the workflow fits the problem.
@GroundControl breaks down why teams still need judgment, clear goals, and real ownership when agents are involved.
Hear the full discussion here:
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