SKU: 84986576479
gravel bikes titanium

gravel bikes titanium Pearson Around The Outside Titanium Expedition Gravel Bike – Forge 1860 Performance Cycling

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Description

gravel bikes titanium Pearson Around The Outside Titanium Expedition Gravel Bike – Forge 1860 Performance CyclingAn expedition gravel machine designed to take you (and your breath) away. Created for maximum cargo, ATO combines ingenious bike packing options with impeccable craftsmanship and design. The original version of Around the Outside (ATO) was inspired by a line from Buffalo Girls, the 80s hit by the quirky pop outlier Malcolm McLaren. A true pioneer, McLaren was the perfect inspiration for the first ATO; an elegant, stylish gravel bike designed for

An expedition gravel machine designed to take you (and your breath) away. Created for maximum cargo, ATO combines ingenious bike-packing options with impeccable craftsmanship and design.

The original version of Around the Outside (ATO) was inspired by a line from Buffalo Girls, the ’80s hit by the quirky pop outlier Malcolm McLaren. A true pioneer, McLaren was the perfect inspiration for the first ATO; an elegant, stylish gravel bike designed for maximum cargo. A bike created to conquer pastures new, thanks to intelligent design and exceptional craftsmanship – the updated ATO offers all that and more. 

We often ask ourselves which Pearson bike we’d save if we could only save one and the new ATO is a strong contender. Engineered to take you anywhere you want to go, from short spins to long-haul adventures in unrivalled riding comfort. Lively and agile on rocky routes, it also offers stable descending on loose terrain. An overall ride, in fact, that Pearson lead designer Scott Decker calls “buttery smooth”. 

The sleek road bike aesthetic is deceptive because ATO is every bit as capable as a modern mountain bike, a machine you can rely on even when you doubt yourself. Created to cover all types of riding, every detail has been carefully considered. From the single-front gearing (42t max) preferred by modern bike-packers, to internal cable routing that keeps lines clean. We’ve added more mounting bosses, too, so you can load your panniers and frame packs for bigger, bolder adventures. 

As with its predecessor, high-spec titanium provides the shock absorption of steel but with a lightweight comparable to carbon. The stiffness of the material also ensures excellent power transfer. Pearson’s titanium bikes are made using the highest quality hand-drawn tubes available to ensure strength and agility when riding. Though more expensive to produce, the end result offers both a lighter weight and superior performance. Created for longevity, titanium won’t rust or corrode and is more resistant to heavy impacts. (Lower quality, single-gauge titanium can be prone to cracking.)

ATO’s curved down tube allows extra clearance for both the front wheel and luggage, as well as larger tyre sizes; there’s clearance for 29x2.2” or 27.5x2.3 (650x60). The frame features multiple bottle mounts (eg. on seat tube and down tube), again to better accommodate frame luggage. The expertly sculpted, cast-titanium rear wheel dropouts take their inspiration from contemporary mountain bikes, with craftsmanship that provides a class-leading strength-to-weight ratio.

Extra features include routing sports for a dropper post and dynamo lighting, and routing to a USB top cap port. The full carbon fork option features adaptable cage mounting points, plus interchangeable dropouts for 50 or 58mm offset, adapting the trail for different riding styles, tyre sizes, or front-load carrying. Mudguard and front light mounting points make for maximum functionality.

FEATURES

  • Titanium handmade frame.
  • Comfortable all-day geometry.
  • Curved downtube for increased mud clearance and improved luggage carrying capabilities.
  • Fork: Full carbon fork w/expedition mounts.
  • Cast rear dropout for increased strength.
  • Compatible with both mechanical and electronic gearing.
  • Expedition bottle bosses on fork, top tube and underside of downtube.
  • Ability to run 29x2.2” (700x55c), or 27.5x2.3” (650x60) tyres.
  • Dynamo routing and rear light mount.
  • Fizik finishing kit.
  • 1x or 2x gearing option.

TECHNICAL DETAILS

  • Frameset: Pearson titanium hand drawn tube set 
  • Fork: Full unidirectional carbon expedition fork with additional bosses.
  • Shifters: Shimano 12-speed St-RX820
  • Chainset: Shimano Fc-RX820 42T
  • Cassette: Shimano 12-speed XT M8100 10-45
  • Chain: Shimano HG-8100
  • Rear Derailleur: Shimano Rd-RX820 mechanical
  • Brakes: Shimano Br-Rx10 hydraulic
  • Rotors: Shimano Rt-Mt800 160mm Ice Tech
  • Handlebars: Pearson integrated low drop carbon 15 degree flared.
  • Stem: Pearson integrated carbon
  • Saddle: Fizik Terra Argo X5
  • Seatpost: Pearson Straight Up Carbon 31.6mm
  • Bartape: Fizik Terra Microtex Bondcush
  • Tyres: Pirelli Cinturato Gravel M 700x45
  • Wheelset: Pearson Hoopdriver Wide Boy alloy wheelset.
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SKU: 84986576479

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UA
Waukegan, US
★★★★★ 5
A Good Reality Check on How AI Agents Actually Work in Enterprise Systems
Format: Paperback
Most AI books stop at prompts. This one goes deeper into how agent systems actually behave once you try to use them inside large workflows with memory, tools, permissions, automation, and multiple agents working together. That part felt very relevant for healthcare and enterprise environments. The book does a good job explaining why context engineering matters and how poor context handling creates hallucinations, inconsistent outputs, and degraded performance over time. Honestly, that is one of the biggest problems organizations underestimate right now. In healthcare workflows, context matters a lot: * prior interactions * business rules * auditability * escalation logic * safety constraints * tool permissions * workflow boundaries The sections on persistent memory, scoped context, subagents, and structured workflows connected strongly to that reality. I work in enterprise analytics, and while reading this book I kept thinking about use cases like: * pharmacy workflow automation * prior authorization support systems * coding assistants for healthcare engineering teams * AI copilots for operational analytics * agent-based escalation systems * claims and workflow orchestration The MCP chapters were also useful because they explain integration challenges clearly instead of treating tooling as magic. What made this book stand out for me was the balance between implementation and architecture. The author explains: * why long contexts fail * how context poisoning happens * why isolation matters * when parallel agents help * when they actually create more complexity That level of honesty is missing in many AI books right now. Another thing: the examples are not overly academic — The Next.js project setup, GitHub automation, Claude desktop workflows, memory systems, hooks, and subagents make the learning process feel practical and hands-on. One limitation: this book assumes technical background. Someone completely new to coding agents, LLMs, Git, or development workflows may struggle in the first few chapters. But for engineers, AI teams, enterprise architects, and technical leaders trying to understand where agentic coding is actually going, this book is worth reading. Especially for organizations trying to operationalize AI safely instead of just experimenting with chatbots.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 20, 2026
C
Christopher West
Natrona Heights, US
★★★★★ 5
Great book! Practical and for developers that already use AI!
Format: Paperback
I purchased "Agentic Coding" by Claude Code due to my desire for an alternative to generic "Prompt Template" type resources related to AI-based development. This book accomplishes just that. As opposed to merely viewing Claude Code as a "magic box", the author has explained how to utilize it in conjunction with other actual development processes. The authors' emphasis on "context engineering" (i.e., structuring data/information; managing knowledge in a project; guiding an AI agent to produce consistent results vs. producing random/unknown results) represents the strongest component of the book. It should be noted that the book appears to be intended primarily for experienced developers with prior experience in software development and/or familiarity with AI-based development tools. Should you be familiar with Git, the command-line interface, and/or modern development processes, you may find this resource very helpful. Conversely, I did appreciate the fact that there were no novice-oriented descriptions provided throughout the book. The aspect of the book that I found most valuable, however, is the extremely pragmatic nature of the material contained within. The examples illustrated through developing/maintaining CLAUDE.md files; utilizing Claude Code in combination with GitHub Workflows; employing MCP Servers; and creating multi-agent or sub-agent workflows all seemed to reflect a clear focus on "real world usage" rather than theoretical constructs. In addition, each chapter builds upon previous chapters in such a manner as to provide a logical progression through which the reader can easily understand and ultimately implement the concepts learned. I also appreciated that the author included guidance on responsible utilization of the tool(s), as well as maintaining control over what changes are made by the agent. While numerous books regarding AI focus solely on what AI tools can accomplish, this book addresses both how to utilize these tools effectively in a real codebase, as well as responsibility and safety considerations. In summary, this is not a book for individuals completely inexperienced in either programming or generative AI. However, if you are currently experimenting with tools such as Claude, Cursor, GitHub Actions, or MCP, this is likely one of the more useful and practical books available on the subject. Recommended for software engineers seeking to transition from simply "prompting an AI" into establishing a repeatable/professional workflow process surrounding agentic coding.
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Reviewed in the United States on April 11, 2026
P
Paul Pollock
Louisville, US
★★★★★ 4
⭐⭐⭐⭐ (so far)
Format: Paperback
I'm maybe a third of the way through this and already rethinking how I talk to coding agents. The reframe from "prompt engineering" to "context engineering" sounds like semantics until Marco walks you through why context poisoning, context clash, the Goldilocks zone for system prompts. That chapter alone reorganized something in my head. I keep going back to the line about garbage in, garbage out being the real reason agentic systems underperform. The hands-on stuff lands well too. Building the HookHub project from scratch, wiring up Playwright MCP, watching Claude generate a CLAUDE.md file and then not automatically loading a memory file you just created — that moment where you expect magic and get silence instead? That's the kind of honest teaching I appreciate. It made the "why" behind memory hierarchies click.
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Reviewed in the United States on May 12, 2026
J
Jonathan Reeves
Dallas, US
★★★★★ 5
Essential Reading for Developers Serious About Agentic AI Workflows with Claude Code
Format: Paperback
Agentic Coding with Claude Code is easily one of the most practical and forward-thinking AI development books I’ve read. Instead of treating Claude Code like a simple chatbot, this book shows how to turn it into a true agentic development platform capable of handling real-world engineering workflows. What I appreciated most was how actionable the content is. The explanations around slash commands, hooks, persistent memory files, and MCP servers are incredibly clear and immediately useful. The author does an excellent job balancing foundational concepts with hands-on implementation, making advanced topics like multi-agent orchestration and hierarchical delegation approachable for experienced developers. The chapters on MCP and context engineering were especially valuable. Most AI books stay at the surface level, but this one dives deep into structured context sharing, workflow automation, and scalable AI-assisted development practices that actually matter in production environments. I also liked that the book focuses heavily on maintainability and control. It doesn’t just show flashy demos—it teaches how to safely integrate AI agents into existing terminal and IDE workflows while enforcing coding standards and keeping projects organized. The examples using Claude Code with Next.js projects were practical and helped connect the concepts to real software engineering scenarios. The sections on subagents, planning workflows, and reusable automation patterns opened my eyes to entirely new ways of approaching AI pair programming and development productivity. If you are a developer, AI engineer, or technical lead looking to move beyond basic prompt engineering and build reliable, scalable AI-assisted workflows, this book is absolutely worth reading. Highly recommended for anyone serious about modern agentic coding and AI-powered software development.
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Reviewed in the United States on May 9, 2026
K
Kirk D. Borne
Los Angeles, US
★★★★★ 5
Agentic Coding - all the right pieces in the right places
Format: Paperback
Before obtaining a copy of this book, I had not yet become familiar with Claude Code and didn't realize how robust AI Pair Programming is now. However, I did know and have rigorously promoted the absolute importance of Context (via Context Engineering) in any AI-prompted tasks, including coding. This book brings all of that together in an incredibly useful book (dare I say... a comprehensive toolkit and handbook) for AI-prompted coding in these multiple modalities: IDE, command-line, and pair programming. It covers memory management, agents, subagents, multiple-agent systems, context-sharing, orchestration, enforcement of coding standards, code maintenance, and more - for executing AI-assisted development with confidence. I highly recommend this book. Disclosure: the publisher provided me with a free review copy of the book.
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Reviewed in the United States on May 19, 2026

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