AnswerRocket

We're an enterprise AI solutions company that helps organizations unlock the power of AI to drive business outcomes.

[AnswerRocket @AnswerRocket]

A custom AI agent runs faster and cheaper when you strip out what it doesn't need.

Strip out too much, and it stops reasoning well. Alon Goren on finding the balance in the latest AI, Actually.

Full episode: https://t.co/fz1xLdKQhL

#AIActually #AgenticAI

[AnswerRocket @AnswerRocket]

Lines of code and pull requests are easy to count.

Are they the right way to measure AI?

AnswerRocket co-founder Mike Finley has a sharper answer on the latest AI, Actually.

Full episode: https://t.co/P4IjbpntKC

#AIActually #AIStrategy

[AnswerRocket @AnswerRocket]

AnswerRocket, Balfour Beatty, and Microsoft teamed up on a national AI hackathon.

At LCI Congress in Atlanta, we're breaking down the framework it produced. Wed Oct 14, 1:00-1:45pm.

Register now: https://t.co/ddo10V9POb

#LCICongress #AIInnovation

[AnswerRocket @AnswerRocket]

Most AI tools are built for one user. Enterprise workflows need a whole team.

Ep. 26 of AI, Actually: Pete Reilly, Alon Goren, Mike Finley & Stew Chisam on multiplayer AI, harnesses, the AI pause debate & JEV.

🎧: https://t.co/ghCyKTf1SH

#AIActually #EnterpriseAI

[AnswerRocket @AnswerRocket]

Not every AI task needs a full LLM.

Mike Finley explains JEV, a lighter, faster approach that just answers yes or no instead of running every small decision through a big model.

Episode 26 of AI, Actually drops Tuesday, 9/29.

#AIActually #EnterpriseAI

[AnswerRocket @AnswerRocket]

Slowing frontier AI won't slow the race. Open source is already global, and better models keep coming no matter what any one country decides.

Alon Goren breaks it down on the new AI, Actually clip.

Watch here: https://t.co/pz54tApUEh

#AIActually #AIRegulation

[AnswerRocket @AnswerRocket]

Usage-based pricing makes sense for accessing a model. It doesn't necessarily make sense for the AI solution built on top of it. New episode of AI, Actually on what enterprises should really be pricing.

🎧 https://t.co/mpR4yHd5hQ

#AIActually #EnterpriseAI

[AnswerRocket @AnswerRocket]

Never let an agent evaluate itself. Ada Gil on why the real challenge in enterprise AI isn't defining the outcome, it's defining "done" before you start measuring it.

https://t.co/K4LgtNLvEv

#AIActually #AgenticAI #AIGovernance

[AnswerRocket @AnswerRocket]

The credential leak problem in AI agents usually comes down to one design flaw: generated code and secrets sharing a container.

Here's how Claude Managed Agents' brain/hands/session architecture closes that gap: https://t.co/fqYyxzZ5Sx

#AgenticAI #AIArchitecture #EnterpriseAI

[AnswerRocket @AnswerRocket]

AI agents don't need to start at senior level. Start them as interns and promote them, same as any new hire.

New episode of AI, Actually is live.

🎧 https://t.co/UQxVktmwS5

#AIActually #AgenticAI #EnterpriseAI

[AnswerRocket @AnswerRocket]

Labor Day is for the people behind the progress: the builders, the doers, the ones who show up. Grateful for the work and the people who do it.

Happy Labor Day.

#LaborDay #Teamwork

[AnswerRocket @AnswerRocket]

https://t.co/WKEoeoooLA

[AnswerRocket @AnswerRocket]

Cutting AI agent costs without breaking reliability is the real challenge. The pattern: sandbox your agents, prove the pipeline with intelligent models first, then step down for cost. Skills are your biggest lever.

Full episode in the comments.

#AIActually #AgenticAI

[AnswerRocket @AnswerRocket]

Getting an AI agent to production requires thinking through sandboxing, credential management, session recovery, and observability.

Here's how Claude Managed Agents covers all of that, and when it beats building your own harness: https://t.co/N35I8588q0

#AIAgents #EnterpriseAI

[AnswerRocket @AnswerRocket]

A powerful model can hide a bad prompt. A cheap one won't. Build with the small model first, force clarity, then scale up. Jake Barger breaks it down on AI, Actually.

🎧 https://t.co/GvYWT5utxk

#AIActually #AIStrategy

[AnswerRocket @AnswerRocket]

🎙️ New episode of AI, Actually is live. One enterprise agent's cost dropped 33x (not 33%) once the team got serious about optimization. The team breaks down the playbook.

🎧 https://t.co/llYIS3gRAt

#AIActually #AgentOps

[AnswerRocket @AnswerRocket]

https://t.co/P42fuaMst3

[AnswerRocket @AnswerRocket]

Workers save 11 hrs/week with AI. But they lose 6.4 of them back "botsitting," fixing its mistakes. Net gain: 4.6 hrs.

Our Co-Founder, Mike Finley, on the fix: training + context, not just usage.

#EnterpriseAI #AgentOps

Link in reply.

[AnswerRocket @AnswerRocket]

Graphs in AI aren't charts. They're maps — how things connect, chain, and depend on each other.

Mike Finley on why that structure is what lets AI systems scale, on the latest AI, Actually.

Full episode on YouTube 🧑‍💻 : https://t.co/msH59agUt5

#AIActually #AgenticAI

[AnswerRocket @AnswerRocket]

4 things to know before you build your next AI agent. Straight from the people who build them for a living.

Swipe through, then tell us which one you're already getting wrong. 👀

View the full episode here: https://t.co/cCKCZhembO

#AIActually #AgenticAI #EnterpriseAI