Mayank Patel

Fitness freak 💪🏻 | Building BetterBugs | Co-founder @ Linearloop 🇮🇳!

[Mayank Patel @patelmayankce]

@lukepierceops BLUEPRINT

[Luke Pierce @lukepierceops]

Automation consultants charge $15K for what Claude Code now does in 2 hours.

I know because we're the ones who used to charge it.

Here's the exact process:

Step 1: Discovery (20 min)
→ Paste your org chart, tool stack, and top 3 bottlenecks
→ Claude interviews you with clarifying questions
→ Outputs a full process inventory ranked by time cost

Step 2: Workflow Mapping (15 min)
→ Describe any department's daily operations in plain English
→ Claude builds a complete process map
→ Every manual handoff, redundant step, and automation trigger flagged

Step 3: Opportunity Audit (10 min)
→ Feed it the workflow map output
→ Returns your top 10 automation opportunities
→ Ranked by ROI, complexity, and build time

Step 4: Architecture Design (20 min)
→ Claude designs the full system architecture
→ Which tools connect where, what the data flow looks like
→ Agents for complex logic, linear flows for the repetitive stuff

Step 5: Build (ongoing)
→ Claude writes the actual workflow JSON
→ Self-documents everything as it builds

Step 6: The output.

A live dashboard your whole team can work from.

→ Clickable process maps for every department
→ Automation opportunities ranked by ROI
→ Implementation progress by phase
→ KPIs updated in real time
→ One link you share with clients, freelancers, or your team to execute

This is what we hand every client at the end of discovery.

The .md file is what makes all of it possible.

Without it, Claude guesses.

With it, Claude builds like a $15K consultant.

Like this post, RT and comment "BLUEPRINT" and I'll send you the full prompt stack and the .md file we use internally. (Must be following so I can DM you)

🎁 Bonus: The first 100 people get a real Precision AI Blueprint — an actual sample audit doc from a client engagement so you can see exactly what the output looks like.

[Mayank Patel @patelmayankce]

Web 2.0 was built for humans with fingers.
Web 3.0 is agents calling your API at 3am — and your product better not ask them to “please fill the form.” 😅

[Mayank Patel @patelmayankce]

@VikramVerm25510 File

[Vikram Verma @VikramVerm25510]

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Inside the file:
→ Booking & outreach automations
→ Scrapers, support agents & more
→ Cold email engines
→ Social listening dashboards
→ Lead gen bots
→ Content pipelines
→ Auto-scheduling assistants
→ AI copywriters
→ Form-to-CRM connectors
→ Data enrichment bots
→ Chatbot funnels
→ Review aggregators
→ Auto-reporting scripts
→ AI-powered survey analysers & more...

Built-for-speed systems trusted by top agencies to land $7K+ clients.

GET it:
- Comment "𝐅𝐢𝐥𝐞" (MusT)
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- No Follow = No DM, Move fast.

[Mayank Patel @patelmayankce]

AI adoption fails when companies ignore the fundamentals: aligning tools with people’s skills and culture. Start small. Build competency. Then iterate. Technology alone won’t win - people plus tools working together will.

[Mayank Patel @patelmayankce]

Founders want visibility. Engineers want focus.
The fix? Async demos.
No task is “Done” without a 30s Loom showing it working. Less meetings. Better feedback. Higher quality.

Build > status calls.

#ProductManagement #EngineeringLeadership

[Mayank Patel @patelmayankce]

Your AI strategy will fail not because of your models, but because of how you stored data 3 years ago.
Messy data creates an expensive warehouse of unusable history.
Is your data AI-ready, or just dumped in a bucket?

#DataEngineering #AI #MachineLearning #DataArchitecture

[Mayank Patel @patelmayankce]

We're about to repeat early API mistakes with MCP.
The spec is solid, until it says "you figure it out" on downstream authZ.
Token exchange isn’t optional. Context-aware auth is the only safe path.

Here's the recent article by Dan Moore: https://t.co/uMUfiMtpyJ

#MCP #AuthZ

[Mayank Patel @patelmayankce]

AI was meant to buy us time not sell it back as “quick asks.”
Real progress = less busywork, more thinking.

[Mayank Patel @patelmayankce]

The best decisions happen before the meeting starts.
At Linearloop, we write first, talk second. 10 minutes of structured thinking beats hours of scattered discussion.

Four questions: Problem? Context? Proposal? Trade-offs?
Writing isn't slow. It's clarity.

[Mayank Patel @patelmayankce]

Founders, instead of this:

“Make the signup form shorter”

Try this:

“Signup drop-off is high, but we still need enough data to personalize onboarding. How should we balance speed against data quality?”

#Founders #Engineering

[Mayank Patel @patelmayankce]

Should checkout live inside your core platform or run as a separate service?

Embedded is easier early on.
But if you want multi-store, multi-geo, or faster iteration decoupling wins.

If you're building for scale, treat checkout like a product.

#ecommerce #platformarchitecture

[Mayank Patel @patelmayankce]

Most transformative products started as unpopular ideas.

If everyone agrees with your vision on day one, you're probably playing it too safe.

Breakthroughs look weird before they look obvious.
Build with conviction, especially when no one’s clapping yet.

#startups #founders

[Mayank Patel @patelmayankce]

Keep hearing “LLMs,” “bias,” and “agentic AI” but too busy to Google every second word?

This quick guide will make you sound way more fluent in AI at work or over your next chai break.

Link: https://t.co/aoeDvIzLMF

#AI #LLM #agenticAI #tech

[Mayank Patel @patelmayankce]

AI is changing how we code.

Top engineers now ship prod features from phones, review AI PRs, and rarely touch IDEs.

Typing fast matters less.
Product thinking, architecture, and review skills matter more.

Read full post👇

https://t.co/T5OE8ikHaO

#AI #engineering #devtools

[Mayank Patel @patelmayankce]

What should non-tech founders expect from engineers?

Not speed or certainty, but smart trade-offs, honest unknowns & decisions that hold up 6 months from now.

Good engineering is like poker. It's about managing risk, not playing perfect.

#startups #engineering #founders

[Mayank Patel @patelmayankce]

Can one eCommerce platform support B2B + B2C?
Technically, yes.
But unless your system handles segmented pricing, workflows, and checkout logic, one side will always feel like an afterthought.
The question isn’t can it. It’s at what cost?
#B2Bcommerce
#growthengineering

[Mayank Patel @patelmayankce]

Most enterprises don’t have a tech problem. They have a model problem.
Choose the wrong ecommerce model, and you’ll spend quarters scaling what should’ve been scrapped.

#ecommerce #growthstrategy #enterprisecommerce

[Mayank Patel @patelmayankce]

AI agents can now buy across Shopify, Walmart, Target & more - inside Google’s AI.

Websites aren’t the funnel anymore. Agents are.

Know More click here: https://t.co/mQDFRkSr32

#AICommerce #AgenticAI #GTM