Tl;DR

A brand is just a way to lower CaC.

These are the brands HUBs that by chance Ive ended up creating.

Intro

What clients need

A way to know the value you provide

In other words: a consistent BRAND!

Branded Videos as a Code

Free goodies!

Who said free info?

Newsletters, ebooks?

Ideally, decoupled from your time.

A way to Reach

In ither words: a way to move from attraction towards conversion

Formbricks and CAL APIs

https://github.com/JAlcocerT/jalcocertech-services/tree/master/forms

Embedding Formbricks

Using Formbricks withing a Website | Post

Or via CAL Tech Consulting

Questions? Get them solved

https://github.com/JAlcocerT/jalcocertech-services/tree/master/cal

Stripe API

Surprise: a way to pay is also a the ultimate way to communicate trust

https://github.com/JAlcocerT/jalcocertech-services/tree/master/stripe

The HUBs

JAlcocerTech HUB

With such knowledge destillation:

git clone https://github.com/JAlcocerT/jalcocertech-services
#The trick
git submodule add https://github.com/JAlcocerT/ebook-ideas.git external/ebook-ideas
git commit -m "Add ebook-ideas repo as submodule"

playbook-leverage-systems.md — that fuses these 4 into actionable rules for
solopreneur ops, product scoping, and time/customer allocation?

   File        │ Notes │                   Theme                   │                      ├────────────────────┼───────┼───────────────────────────────────────────┤

│ 80-20-principle.md │ 89 │ Imbalance, simplicity, time/career/money │
├────────────────────┼───────┼───────────────────────────────────────────┤ │ essentialism.md │ 126 │ Less but better, biases, editing, buffers │ ├────────────────────┼───────┼───────────────────────────────────────────┤ │ average-is-over.md │ 36 │ Bifurcating labor market, man+machine │ ├────────────────────┼───────┼───────────────────────────────────────────┤ │ 4-hour-workweek.md │ 34 │ DEAL, muse design, eliminate>delegate │

The Video HUB

The Mech HUB

git clone https://github.com/JAlcocerT/multi-body

Updating my old fav prompt to this

Lets use agents with skills to make such landingpage: https://skills.sh/mattpocock/skills/grill-me

#npx skills add https://github.com/mattpocock/skills --skill grill-me
/grill-me
#https://skills.sh/openai/skills/frontend-skill
npx skills add https://github.com/openai/skills --skill frontend-skill

Made some updates to the requirements:

I need Landing Page based with a cool and modern UI.

Create also a makefile with the following commands:

* `make help` - Show available commands
* `make install` - Prepare the dependencies for local development
* `make dev` - Run development server

Create the `z-development-plan.md` with independent and testable phases that can be completed sequentially.

When it is completed, create a `z-walkthrough.md` with the steps to deploy the application and what each part of the tech stack does on a high level to bring the features to life.

The **full copy** of the landing, has to be goberned by a single `site.md` file.

Consider adding a Terms of Service / **terms and conditions and privacy policy** to the website, which will be governed by two separated markdown files.

Add also a faq section, that instead of been controlled via a json, lets have it controlled as per the frontmatter and content of separated markdown files inside the folder `faq`. 

Go to whatever IDE and ask if the brd.md refined is clear enough.

If the prd is clear, define the z-development-plan.md and proceed with the development phases.

cd ./site
npm run build
npx wrangler pages project create #this will install the wrangler CLI package
npx wrangler pages deploy dist # normally will be dist, but whatever <BUILD_OUTPUT_DIRECTORY>

Code the engine and SELL THE ROI

Outsource the thinking, not your understanding

FOSS Update to HUB

As i love automation when it works, not when its a liability

I have made further improvements about fossengineer

Ideally analyzing repo 2 doc/posts and publishing there

while the video part will be published at jalcocertech in youtube sounds quite attractive

But for now…

whats the excuse to still be around a tweaked HUGO PaperMod ?

and to not be synced with home-lab?

git submodule add https://github.com/JAlcocerT/fossengineer.git external/fossengineer
git commit -m "Add fossengineer repo as submodule"
# git submodule add https://github.com/JAlcocerT/Home-Lab.git external/Home-Lab
# git commit -m "Add Home-Lab repo as submodule"

And to not capture emails?

Talks x Emails

You can use https://claude.ai/settings/connectors

and distilled all those good newsletters your are subscribed to

like those sales/copywriting tips

Creating PoCs

Great video to architect and ship

With good books references: like the DDD concept

Helping PMs and PdMs

Lets be clear: ‘guys, lets build some agentic stuff’ is not a real requirement and does not provide 100k/y+ of value to anyone.

Can we provide some guardrails to the still human PMs and PdMs to actually do their job and defining scope and requirements?

Not sure if we, but AI can:

#npm i -g @anthropic-ai/claude-code
#codex
$skill-installer frontend-skill

Used this fe, together with caveman, to define this:

#git clone /poc
cd ./poc/libg/telecom-product

A brd… to help others defin other BRDs: with such tech stack, dev plan

cd pm-copilot
npm run dev # requires OPENAI_API_KEY in pm-copilot/.env.local
#start index.html #ppt view

Yes, the fe.md made its job.

Created with Opus 4.7 in under 2h and 25% of the current hourly period tokens consumed

Shipped.

Because doing those jobs, aka asking questions, with Gemini at the browser seems to be so hard.

Last time i mentioned how quickly was to do the ppt.html in this one.

But now, Who said a video?

#start index.html #ppt view
cd hyperframes-pitch
hyperframes preview
npx hyperframes render -q high -f 60   # 60fps high-CRF

Hyperframe or remotion shouldnt be a problem already:

npx --yes skills find hyperframes 2>&1 | head -60
#npx --yes skills add heygen-com/hyperframes@gsap -y
#npx --yes skills add heygen-com/hyperframes@hyperframes-c

From start to ship, ppt and video: 4h and 50% tokens consumed

a branded video?

Going from html to video is nothing nowadays:

Thats it.

No excuses to get directions and definitions right: you better be the best PM/architect in the room

https://jalcocert.github.io/JAlcocerT/the-ideas-bucket-can-be-empty/#the-top-down-hierarchy-of-right

Making a SaaS?

https://jalcocert.github.io/JAlcocerT/docs/entrepreneur/bip/#saas-kpis

Conclusions

The future of engineering?

Ship value!

Are you betting on business growth (more sales, bigger deals, up sales,decreased customer churn) or…on business efficiency (higher margins, decreased costs, increased output)?

It doesnt really matter if you are ready to jump:

Build, scale, govern, optimize is whats coming to enterprises

Delivering Value

Consulting Services

Consulting - Tier of Service

DIY via ebooks

Distilled knowledge via web/ooks with free value.

PS: no AI/agentic layer will work w/o proper data layer (data readiness/governance matters)!

Using Lately

• Claude Code with vscodium
  • Ocassionaly ghostty / gram / zed
  • https://www.warp.dev/terminal
• Antigravity
• Roo code / Kilo Code / Gemini CLI
• Codex CLI
• Cursor
• Windsurf

FAQ

Apps that Inspire

1. DocuSign DocuSeal

2. Tiinyhost

Whats interesting?

That you can get inspired by these webs UI/X with google stitch nowadays.

Inspiring apps: all those pwa like that just…work

• https://bentopdf.com/index.html

• Docuseal

• it-tools

• Vert - https://jalcocert.github.io/JAlcocerT/wasm/

• Pairdrop…

• https://github.com/scio-labs/inkathon

Full-Stack DApp Boilerplate for Substrate and ink! Smart Contracts

How about building like they’ve done?

References

1. The design of the design

submodule add https://github.com/JAlcocerT/ebook-ideas

To my read book notes and these for business playbooks

Concepts

Lean thinking is still useful (fast‑feedback, MVP, reducing waste), but it’s more about optimizing an existing flow than exploring the fuzzy, participatory space where prosumers live.

• A BRD is a high‑level document that captures what the business wants (goals, scope, stakeholder needs) before you get into technical specs.

So BRD is more about “capturing intent” than shaping the interaction model; it’s a bridge from business (including prosumer‑oriented goals) to the team.

• DDD is a software design approach where the code structure reflects the business domain, using a shared language between devs and domain experts.

• Design thinking helps you frame the problem space with prosumers (workshops, personas, scenarios). bmc

• BRD then writes down the business intent (“we want users to be prosumers, not just consumers”) and boundary conditions. cubettech

• DDD shapes the internal architecture and language so the system can safely support prosumer‑style creation and extension. en.wikipedia

While DEFINE is about the architecture and preparation, CREATE is the engine for the actual drafting and iterative execution. It is the framework used to turn those requirements into a high-quality final product.

DEFINE is Strategic: It’s used for project management, aligning stakeholders, and ensuring you know what you need. It is the “Contract.”

CREATE is Tactical: It’s the actual prompt engineering syntax used to talk to the LLM to get the work done. It is the “Execution.”

Pro Tip: Use DEFINE to organize your thoughts in a scratchpad or document, then translate those requirements into a CREATE prompt for the AI.

This blueprint provides your team with a standardized “Operational Language” for AI. It bridges the gap between high-level project management (DEFINE) and the tactical engineering of the prompt (CREATE).

AI Engineering Blueprint: DEFINE & CREATE

Objective: To move from “chatting” with AI to “programming” AI with precision and repeatability.

Phase 1: The DEFINE Framework (The Strategy)

Use this during the planning stage to align the team on what the AI is actually solving.

Phase 2: The CREATE Framework (The Execution)

Use this to build the actual prompt. This is the syntax the AI receives.

1. Character & Context

• Prompt: “Act as a [Senior Role]. You are currently working on [Project Context].”
• Goal: Prime the model’s internal weights for specific domain expertise.

2. Reference & Resources

• Prompt: “Use the following examples for style: [Example 1, Example 2]. Refer to this data: [Data Block].”
• Goal: Provide “Few-Shot” examples to minimize hallucinations.

3. Explicit Instructions

• Prompt: “Your task is to [Verb] the [Input] into a [Output].”
• Goal: Clear, command-based directives (e.g., “Synthesize the meeting notes into action items”).

4. Adjustments & Constraints

• Prompt: “Maintain a [Tone] voice. Do not use [Forbidden Terms]. Ensure [Requirement].”
• Goal: Polish the output to meet brand or technical standards.

5. Type of Output

• Prompt: “Output the results as a [Markdown Table / JSON / Code Block].”
• Goal: Ensure the output is immediately “plug-and-play” for the next tool.

6. Evolutionary Iteration

• Prompt: “Critique your own response for [Constraint] and provide a revised version.”
• Goal: Use the AI’s reasoning to self-correct before the human sees it.

Phase 3: The Pro Workflow (The Chain)

To implement these, tell your team to follow the G.R.T.A. sequence for complex tasks:

1. Generate: Use CREATE to get a raw draft based on the DEFINE specs.
2. Refine: Feed the draft back. Ask the AI to fix logic, tone, or factual errors.
3. Transform: Change the refined text into the final format (e.g., Turn the report into a Thread or a Jira ticket).
4. Apply: Generate the meta-data or code needed to move the work into your production environment.

• Standardize: Use a shared document/Notion page for “DEFINE” blocks before starting big AI tasks.
• Library: Save successful “CREATE” templates that worked for specific recurring tasks (e.g., “The Weekly Report Prompt”).
• Review: During sprint reviews, show the prompt (the “Define/Create”) alongside the result to improve team prompting literacy.