Google Maps LVR

Today, Google Maps Platform announced the General Availability of Large Vehicle Routing (LVR) across the U.S. Available via the Routes API, Route Optimization API, and Navigation SDK, this update tailored commercial navigation to account for specific vehicle constraints.

Key Capabilities Introduced

• Customized Vehicle Profiling: Fleet managers can define exact physical attributes for their vehicles—including weight, height, length, width, axle count, and hazardous material classifications. Routes are dynamically filtered to avoid low clearances, narrow turns, and restricted corridors.

• Commercial-Specific ETA Models: By combining historical heavy-vehicle speeds with real-time and predictive traffic patterns, LVR calculates more accurate ETAs specific to large fleets rather than standard traffic streams.

• Unified Route-to-Cab Sync: Using route tokens, dispatchers can plan multi-stop routes via the Routes or Route Optimization API and push the exact restriction-aware path straight to a driver’s turn-by-turn view in the Navigation SDK.

• In-Cab Visual Alerts: Drivers receive clear visual warnings for impending road restrictions (such as weight limits or height clearances) directly within a familiar Google Maps interface.

Ref: https://mapsplatform.google.com/resources/blog/introducing-large-vehicle-routing-address-the-unique-logistics-needs-of-large-vehicle-fleets/

Work after 50

 

There is an uncomfortable paradox in today’s workplace.

Organizations say they value judgment, critical thinking, resilience, problem-solving, leadership, mentorship, and the ability to navigate uncertainty—qualities built through years of experience.

Yet experienced professionals often hear:

“Too senior.”
“Too expensive.”
“Overqualified.”
“Will they stay?”
“Can they keep up?”

Somewhere along the way, experience can become something people feel they need to hide. It shouldn’t be.

Your 50s are not the end of your professional journey. They can be the beginning of a more powerful chapter. You are not starting over.

You are starting again—with experience.

Experience is a superpower

Years of work give you something that cannot be learned overnight.

You have seen projects succeed and fail. You have worked through economic cycles, organizational changes, difficult customers, demanding leaders, technology transformations, and unexpected crises.

You have learned that not every problem needs a complicated solution.

You have learned when to speak, when to listen, when to challenge, and when to adapt.

Most importantly, you have developed judgment.

Technology can provide information. AI can generate possibilities. Data can reveal patterns.

But experience helps you understand what those possibilities mean in the real world. That is valuable.

But experience alone isn't enough

The world has changed—and it will continue to change.

The answer isn't to defend the past.

The answer is to embrace the future without abandoning the wisdom of the past.

The most powerful experienced professional isn't the person who knows everything.

It is the person who has enough confidence to keep continuous learning.

OpenAI NextSlide

 

OpenAI is quietly expanding ChatGPT from an AI conversational assistant into a full-fledged productivity OS. With the recent acquisition of NextSlide—a startup founded by Ahmed Beshry that specializes in transforming raw notes, documents, and research into editable visual presentations—OpenAI is directly targeting one of the few remaining gaps in its enterprise offering.

What NextSlide Brings to ChatGPT

Until now, users looking to create presentation decks from ChatGPT output had to rely on third-party plugins, export raw text into tools like PowerPoint Copilot or Google Slides or manually copy formatting into canvas workspaces.

The integration of NextSlide’s engine changes that workflow:

• Document-to-Deck Conversion: Translates long-form strategy documents, meeting transcripts, and research PDFs directly into structured, multi-slide decks.

• Native Editing & Customization: Generates fully editable design layouts and visual hierarchies natively within the ChatGPT environment rather than flat image exports.

• Context-Aware Visual Design: Uses the underlying context of your conversation thread to select appropriate layout structures, slide flow, and key takeaway highlights.

Prompt Pipeline in Claude

Prompt development workflow is bult from chaos to clarity with below 4 stages

1. From Raw Idea to Clear Spec

• 01. Prompt Maker (/prompt-master): Brain dump in, clean task spec out. Pour out your chaotic thoughts and let this skill transform them into a clean, structured blueprint.

• 02. Grill Me (/grill-me): Eliminates ambiguity. Claude interrogates you with targeted questions until every edge case and requirement is crystal clear.

• 03. How To (/how-to): Fills in the gaps. If you don't know the exact workflow yet, this skill maps out the step-by-step process for you.

2. Model Optimization

• 04. Optimizer 4.8 (/48): Fine-tunes and formats your prompt specifically to maximize performance on Claude Opus 4.8.

• 05. Fable Prompter (/fable): Provides the same high-level polish tailored for Fable 5 models.

3. Polishing & Humanizing

• 06. Personal Voice (/personal-voice): Injects your style. Adjusts the tone and vocabulary so the prompt produces content that actually sounds like you.

• 07. Anti-AI (/anti-ai): Removes AI fluff. Strips out repetitive buzzwords, clichés, and typical "AI tells" before you even hit run.

4. Automation & Continuity

• 08. Write a Skill (/write-a-skill): Automate your workflow. Turns your perfected prompt workflow into a permanent, reusable skill for future use.

• 09. Hand Off (/handoff): Seamless context transfer. Generates a clean summary document so you can pick up right where you left off in a fresh chat session.

The Result

By putting your ideas through this workflow, you eliminate guesswork and jump straight to the finish line: a prompt with a clear goal, full context, and your distinct voice.