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The AI Advantage

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7 contributions to The AI Advantage
How are you handling internal project roadmaps vs. mid-build pivots
Hey everyone, I wanted to get your take on a workflow issue I’ve been wrestling with lately. When you spin up a new build with Claude Code, do you force it to create an internal project roadmap before it starts writing code? Here is my internal struggle: My natural style is to build and tweak the strategy as I go. Oftentimes, right in the middle of a project, I’ll get a new idea or a different train of thought, and I’ll just pivot Claude to start building out that new concept instead. The problem I'm hitting is that because I don't have a concrete endpoint laid out from the start, Claude eventually loses the plot. It doesn't know what tasks are actually outstanding or what the final version is supposed to look like, which leads to wasted time and going in circles. If I implement a strict project roadmap, it would definitely give Claude the clarity and direction it needs to be productive. But on the flip side, I'm worried it might lock me in and ruin my ability to dynamically pivot and implement those new ideas I get midway through. I'm not sure if forcing a roadmap is a good thing or a bad thing for this style of building. I'm trying to figure out the best way to implement this (or if I even should). Curious to hear how you guys are handling this: - The Roadmap File: Do you use a ROADMAP.md (or similar PRD) to keep Claude on track? - Handling the Pivots: If you do use a roadmap, how do you handle those mid-project changes in direction without breaking Claude's brain or starting from scratch? - The Global Prompt: Do you have a rule in your global .claude config that forces it to interview you and define the deliverables for every new project? Would love to hear what solutions you've actually implemented in your workflows!
0 likes • 9h
run into a similar pattern but from a revenue systems perspective rather than code. The tension seems to be between clarity and adaptability. If there’s no defined endpoint, the system (or AI) eventually loses the thread. But if the roadmap is too rigid, you lose the ability to follow better ideas that show up mid-build. What I’ve seen work best in other environments is having a clear objective + constraints, but keeping the path flexible. Almost like defining the destination but allowing pivots on how you get there. Curious if anyone here has found a way to structure that balance with AI tools.
Random observation from sales🧠
Most founders think their problem is leads. Usually it’s not. It’s that nobody is actually working the leads they already have. I’ve seen pipelines where: • people were contacted once and marked “not interested” • follow-ups stopped after 2 touches • old prospects were never reactivated Meanwhile the buyers were still there — just not ready yet. In telecom retail I learned the boring truth: Most deals happen in the follow-up. Curious how other founders here structure their follow-up systems.
0 likes • 9h
@AI Advantage Team on. What surprised me in telecom was how often prospects labeled “not interested” were actually just “not ready yet.” When teams don’t have a follow-up system, those buyers just disappear into the pipeline. A lot of revenue is sitting in old conversations that simply haven’t been revisited. Curious — do you see founders solving this more with automation or process discipline?
How do you deal with employees resisting new AI tools? 😤
Hey guys! This one drives me crazy - companies invest in amazing AI tools and then they end up collecting dust because nobody wants to change how they work The tech is NEVER the problem, it's always the people side 🔵 What's your go-to strategy for driving AI adoption internally? 🔵 🔵 How do you get resistant teams to actually embrace the tools? 🔵 I feel like nobody talks about this enough and it's literally the #1 bottleneck Would love to hear from anyone who's dealt with this!! 😁😁 Thank you!!!
2 likes • 2d
In my experience it’s rarely about the tool — it’s about perceived threat. Most employees hear “AI” and subconsciously translate it to: • “This will replace me.” • “I’m about to look incompetent.” • “I’m going to have to relearn everything.” When people feel that way, resistance is rational. The fastest adoption I’ve seen comes from reframing the tool as status-enhancing instead of threatening. Show them how it helps them: – close deals faster – reduce busywork – outperform peers Once people see the tool as leverage instead of evaluation, adoption usually follows pretty quickly.
AI Scope Creep🖥️
Anyone else dealing with AI scope creep? Project starts as:“Build us a chatbot.” 3 weeks later: • Can it summarize sales calls? • Can it analyze churn? • Can it automate onboarding?• Can it predict LTV? I’ve started implementing a strict: IN-SCOPE / OUT-OF-SCOPE document before kickoff. It’s reduced chaos massively. Curious: How are you protecting your scope while still being flexible?
1 like • 6d
One thing I've seen help with scope creep is anchoring the project around a single business outcome rather than the AI capability itself. When the offer is framed as "will build a chat bot clients tend to keep expanding the possibilities because AI feels unlimited. But when the scope is tied to something like reduce Support tickets by 30% or qualify, inbound leads before sales calls it becomes much easier to define what's in scope and what becomes phase 2. Curious, if anyone around here has tried structuring projects around specific revenue or efficiency outcomes rather than the tool itself?
1 like • 6d
@Corey Blake That's a great distinction. Efficiency AI creates the space, and Opportunity AI lets us explore what's possible and play with that space. Anchoring projects to outcomes just helps decide which rabbit holes are worth going down first.
How did you land your first client? (What exactly worked)
I’m trying to land my first client / first demo call and I want real mechanics, not theory. If you got your first client from cold outreach, can you break down exactly what you did? Channel: cold email, IG DM, LinkedIn, cold calls, walk-ins, referrals? Volume: how many touches/day and for how many days? What got the first “yes”: a short email, a Loom audit, a phone call, a calendar link, a free pilot? Follow-up cadence: how many follow-ups before you booked? Also: I’m not in the U.S. — did you call businesses directly to book demos? If yes, did they care about the number being international? I’m running a DBR / patient reactivation pilot (pay-per-show) for Med Spas. My goal is to book one demo call this week. Appreciate any real playbooks you used.
0 likes • 6d
@Corey Blake really like this perspective, Corey. The point about trust being the real product when you're moving from cold leads to sales resonates a lot. One thing I've noticed from the sale side is that a lot of early deal stall because the buyer hasn't fully connected the problem to a real business outcome yet. Once that clarity clicks the conversations from should we try this to how quickly can we implement it? Curious in your experience – when you were moving from those smaller jobs to hire ticket engagements, what helped accelerate the trust the most? Wasn't mainly results – testimonials, or more about how the problem and solution were framed in the conversation?
1 like • 6d
@Corey Blake I love that. You can feel the difference between performed care and genuine care in a conversation. The trust shows up immediately.
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Venessa Kettle
2
9points to level up
@venessa-kettle-2381
Revenue systems operator. 10+ yrs consultative sales. Discovery, follow-up discipline, and closing conversations that convert.

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Joined Mar 10, 2026
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