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Millie Marconi

Aug 20 • 12 tweets • 4 min read • Read on X

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If you’re building or investing in AI and don’t understand agents… you’re flying blind.

Here’s your shortcut: 10 core concepts every founder should know:

1/ Agentic AI

This is AI that doesn’t just answer questions it gets shit done.

Basically, It can plan, make decisions, and act without you babysitting it.

Think of the difference between asking a human for advice…

And having someone who actually takes the action for you.

2/ Agent

The basic unit of Agentic AI.

An agent is a piece of software that can see what’s going on, think about it, and do something to reach a goal.

Example: an ecommerce agent notices a product is almost sold out, checks sales data, and automatically places a reorder.

3/ Perception

How an agent “sees” the world.

It might read text, scan a video feed, listen to audio, or process data in a spreadsheet.

The more senses it has, the better it can understand its environment.

Without perception, the agent is basically guessing.

4/ Reasoning

This is the thinking step.

once it knows what’s happening, the agent figures out the best move.

Example: traffic is blocked → check historical traffic data → cross-reference with live feeds → decide on the fastest alternate route.

Reasoning turns raw input into smart action.

5/ Action

The moment the agent actually does something.

it might update a database, trigger a process, send a message, or even control a physical device.

reasoning is theory.
action is impact.

6/ Tool use

Agents don’t just use built-in features they can call apis, run code, search the web, or access databases.

This lets them solve problems far outside their “native” abilities.

it’s like giving your assistant a whole toolbox instead of just a notepad.

7/ Context engineering

Feeding the agent the right information, at the right time, in the right format.

it’s like prompt engineering but bigger combining instructions, real-time data, memory, and rules.

Better context = better decisions.

8/ Model Context Protocol (mcp)

A standard way for agents and other systems to talk to each other, even if they’re built differently.

Think of it like bluetooth but for ai systems sharing goals, data, and instructions.

9/ Langchain

An open-source toolkit that makes building llm-powered agents way easier.

You can chain tasks together, give agents memory, and plug in tools all without reinventing the wheel.

10/ Agentflow

A no-code, visual way to design custom agents.

You drag-and-drop workflows, set rules, and the agent runs it all.

Great for teams that want ai power without writing a single line of code.

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More from @Yesterday_work_

Millie Marconi

@Yesterday_work_

Aug 19

R.I.P McKinsey.

You don’t need a $300k consultant anymore.

You can now run full competitive market analysis using ChatGPT, Gemini, and Grok deep research features.

Here are the exact 3 mega-prompts I use to replicate McKinsey-style insights for free:

Let me tell you what McKinsey consultants actually do:

1. Analyze industry trends and competitive dynamics
2. Benchmark companies and products
3. Identify strategic risks and opportunities
4. Package it all in fancy slides and charge 6 figures

But guess what?

AI can now do 90% of that instantly.

Let me show you how:

We use these 3 mega prompts for different tasks:

1/ The Consultant Framework

Prompt: "You are a world-class strategy consultant trained by McKinsey, BCG, and Bain. Act as if you were hired to provide a $300,000 strategic analysis for a client in the [INDUSTRY] sector.

Here is your mission:

1. Analyze the current state of the [INDUSTRY] market.
2. Identify key trends, emerging threats, and disruptive innovations.
3. Map out the top 3-5 competitors and benchmark their business models, strengths, weaknesses, pricing, distribution, and brand positioning.
4. Use frameworks like SWOT, Porter’s Five Forces, and strategic value chain analysis to assess risks and opportunities.
5. Provide a one-page strategic brief with actionable insights and recommendations for a hypothetical company entering or growing in this space.

Output everything in concise bullet points or tables. Make it structured and ready to paste into slides. Think like a McKinsey partner preparing for a C-suite meeting.

Industry: [INSERT INDUSTRY OR MARKET HERE]"

Read 10 tweets

Millie Marconi

@Yesterday_work_

Aug 16

MCP is one of the most important things to learn right now.

• powers next-gen AI workflows
• core to building useful agents
• rapidly becoming industry standard

Here’s the complete roadmap I followed to learn it in 30 days:

Most people still have no idea what MCP is.

Model Context Protocol is the missing layer between LLMs and tools.

It’s how you make an AI agent:

• Talk to any API
• Use any tool
• Do it safely & consistently

Why you should care:

Without MCP, you’re relying on brittle hacks custom integrations, prompt tricks, and API glue code.

With MCP, you get a standard way to define tools, call them from any model and scale without rewriting everything.

Read 13 tweets

Millie Marconi

@Yesterday_work_

Aug 1

you don’t need a cofounder anymore

ChatGPT, Claude, and Gemini will now:

• analyze your skills
• scan market gaps
• return scalable startup ideas

this prompt is pure gold (steal it now)👇

Traditional idea generation is broken.

You either:

- scroll Twitter for hours
- copy what’s trending
- wait for “founder inspiration” to strike

Now?

You just tell an LLM what you’re interested in and it does the rest.

Here’s what it can give you:

- Business ideas tailored to your skills
- Trend-backed opportunities
- Pain-point-based products
- Ideas based on AI, SaaS, ecom, B2B, or niche industries
- Monetization breakdowns and GTM plans

Here’s the exact mega prompt we use:

"You are a world-class entrepreneur, market analyst, and product strategist.
Your task is to generate 10 startup ideas based on my input.

For each idea, include:

– A 1-sentence elevator pitch
– Target user or customer segment
– Key pain point it solves
– Monetization method
– Unique angle or moat

Make the ideas specific, creative, and executable.
Ask follow-up questions to refine if needed."

Read 7 tweets

Millie Marconi

@Yesterday_work_

Jul 31

What is an AI agent?

The most misunderstood concept in tech right now.

Everyone’s using the term, but few know how they actually work.

Here’s the real breakdown (plus 10 tools to build your own):

1. What is an AI agent?

Think of it as an LLM that doesn’t just respond but acts.

It can:

- Decide what to do
- Use tools
- Manage its own workflow
- And iterate toward a goal autonomously

You’re not building a chatbot. You’re building a co-worker.

2. Agent ≠ Workflows

Workflows are predefined paths. Agents are adaptive.

Workflows follow a script.

Agents write their own steps in real time.

The difference?

One executes instructions.

The other thinks, decides, and acts.

Read 10 tweets

Millie Marconi

@Yesterday_work_

Jul 30

WOW… your messy notes can now turn into mind maps automatically

Fluig AI just dropped a tool that turns scribbles into diagrams, tables, and flowcharts

visual thinkers are gonna love this

Fluig Al swiftly transforms your ideas into mind maps, flowcharts, cards, tables, timelines, fishbone diagrams, and even code.

Think faster, organize information visually, and inspire clearer, more creative thinking.

Fluig AI helps you turn any documents or creative ideas into clear, professional diagrams quickly, and you can change the diagram format with just one click!

Read 6 tweets

Millie Marconi

@Yesterday_work_

Jul 29

RIP McKinsey.

AI just replaced $25K consulting gigs with 3 prompts.

Grok 4 now does ops audits, market research, and strategic roadmaps instantly.

Here’s how to clone a Deloitte consultant for $0:

Let me tell you what Deloitte and McKinsey consultants actually do:

- Audit operations
- Map workflows
- Identify compliance & risk issues
- Optimize performance
- Package it in a deck and charge $500,000

But guess what?

AI can now do 95% of that instantly.

1/ The Operations Audit Framework

Prompt:

"You are a senior Deloitte consultant with 15+ years of experience in operational excellence. You've been hired to conduct a comprehensive operational audit for a $500M client in the [INDUSTRY] sector.

Your mission:
1. Analyze the current operational framework and identify inefficiencies
2. Map out key business processes and workflow bottlenecks
3. Assess compliance gaps and regulatory risks
4. Benchmark against industry best practices
5. Create a prioritized action plan with ROI projections

Use frameworks like:
- Process mapping and value stream analysis
- LEAN Six Sigma methodologies
- Risk assessment matrices
- Cost-benefit analysis

Output everything in consulting-grade format: Executive Summary, Current State Analysis, Gap Assessment, Recommendations with timelines and expected savings.

Think like you're presenting to the C-suite next week.

Industry: [INSERT INDUSTRY]
Company size: [INSERT SIZE]"