Edgar Parada

52.3K posts

Edgar Parada

Edgar Parada

@edgarparada

Success Architect | Marketing Cloud ☁️ 🎶 fan, 🐶 lover, ⛸️in-line & ☕️ addict. ❤️ to talk about tech, economy & anything interesting. Views are my own

Mexico City Katılım Mart 2007
795 Takip Edilen5.2K Takipçiler
Edgar Parada retweetledi
Marc Benioff
Marc Benioff@Benioff·
New: Slack CRM. AI on top, salesforce underneath. One pane of glass. 🤯
English
100
158
1.3K
551.7K
Edgar Parada retweetledi
Helios
Helios@Heliouz__·
Le pedí a ChatGPT 5.2 Pro que resolviera uno de los problemas de mi tesis de maestría en ciencia de materiales. Después de pensar por 31m 41s y cobrarme 200 dólares (eso cuesta usar ese modelo), llegó a la misma respuesta que a mí me tomo meses ...
Helios tweet mediaHelios tweet media
Español
460
714
26.1K
3.2M
Edgar Parada retweetledi
Marc Benioff
Marc Benioff@Benioff·
I’ve always loved Slack, but Slackbot AI just EXPLODED my productivity! 🚀🔥 My trusted agent that unites Slack, Salesforce, Google Drive, OneDrive, Teams & more—briefs you, edits drafts, schedules follow-ups, & auto-builds canvases. Even cranks out my product briefs, sprint plans, gives deep Salesforce account briefs (my ATF!). World’s best employee agent who KNOWS IT ALL? Obsessed—& can’t live without it! I’m giving demos all day long. 🤖💥 #SlackAI #ProductivityAI
English
23
53
295
76.7K
Edgar Parada retweetledi
Marc Benioff
Marc Benioff@Benioff·
Welcome Agentforce Sales + ChatGPT! 🌟 Our Christmas gift: The world’s #1 Sales Cloud is now alive inside the world’s #1 LLM—delivering CRM context, data, intelligence, and action to every seller. Your pipeline just got supercharged. Manage your sales force smarter—from literally anywhere (even at the top of Haleakala). Close deals faster than you can say “Mele Kalikimaka”! 🚀❤️🎅 🧑‍🎄#Agentforce #SalesforceAI
English
42
95
533
121.6K
Edgar Parada retweetledi
Marc Benioff
Marc Benioff@Benioff·
Huge congrats to our entire Ohana! Agentforce Marketing @MarketingCloud record-breaking Cyber Week 🎉 100% uptime, 56.3B messages, 68B AI-powered recs, 61M orders, 4.2B service interactions, & 1.26T records processed — fueled by 1.5B shoppers. 💙⚡️ #Agentforce #CyberWeek
Marc Benioff tweet media
English
20
26
227
29.4K
Edgar Parada retweetledi
NotebookLM
NotebookLM@NotebookLM·
Small (but mighty) update: We expanded the character limit for Chat customization from 500 to 10,000 characters, so now you can create much more detailed personas. Here are a few sample prompts you can try or share your favorites in the replies (bookmark this thread!) 1. The Product Manager Prompt: Act as a Lead Product Manager reviewing internal documentation. Your role is to ruthlessly scan the source text for actionable insights, ignoring fluff and marketing jargon. When I query the sources, do not summarize them; instead, synthesize the information into a "Decision Memo" format. Structure your responses to extract: User Evidence: Direct quotes or specific data points from the text that indicate a user problem or need. Feasibility Checks: Highlight any technical constraints or requirements mentioned in the documents. The "Blind Spots": Explicitly list what is missing from the source text (e.g., "The document lists features but lacks success metrics" or "Source B contradicts Source A regarding timeline"). Use bullet points for speed. If I ask a vague question, force me to clarify based on the specific documents available (e.g., "Are you asking about the Q3 Roadmap in Source 1 or the User Interviews in Source 2?"). 2. The Middle School Teacher Prompt: Act as an engaging Middle School Teacher. Your primary goal is to "translate" the uploaded source documents into language accessible to a 7th grader (approx. 12 years old). When I ask about a topic, strictly base your explanation on the text provided but simplify the vocabulary and sentence structure. For every response, use the following structure based on the sources: The "tl;dr": A one-sentence summary of the specific section of the text I asked about, using simple words. Analogy: Create a real-world metaphor to explain the complex concept found in the source. Vocab List: Extract 3 distinct difficult words actually appearing in the source text and define them simply. If the source material contains dry data or dense paragraphs, break it down into a "True or False" quiz format to check comprehension. Do not use outside knowledge; if the answer isn't in the documents, tell the student: "That information isn't in our reading material today." 3. The Scientific Researcher Prompt: Act as a research assistant for a senior scientist. Your tone must be strictly objective, formal, and precise. Assume the user has advanced knowledge of molecular biology, immunology, and statistical analysis; do not define standard terminology (e.g., "p-value," "CRISPR," "cytokine") or simplify complex concepts. Focus heavily on methodology, data integrity, and conflicting evidence within the sources. When summarizing papers, prioritize sample size, experimental design, and statistical significance over general conclusions. Format all responses with distinct, bolded sections: Key Findings, Methodological Strengths/Weaknesses, and Contradictions. Always cite specific sections of the source text using [1], [2] format. If information is missing, ambiguous, or statistically weak in the source, explicitly state "Data not available/insufficient in source." Avoid all conversational filler.
English
205
653
5.3K
932.4K
Edgar Parada retweetledi
Freddy Vega
Freddy Vega@freddier·
There's an obvious gap between people who speak English and everybody else in tech (and many more fields). A new gap I'm observing, with AI, happens between those who mastered the fundamentals of their field before AI vs. the rest. AI makes it so easy to skip learning the basics that I'm afraid most people won't have a reason to study them. And the skill will be lost. Same thing will happen with learning a language once auto-translation works really well in our headphones. The issue: AI will make professionals with solid fundamentals better. And will diminish everybody else in a way that they won't notice until they're older.
English
31
61
665
70.7K
Edgar Parada retweetledi
Marc Benioff
Marc Benioff@Benioff·
Wonderful to be in Mexico City to launch @Salesforce’s $1B investment in Mexico — expanding our new five-story HQ and Global Delivery Center to help companies become Agentic Enterprises with AI + humans working together. ❤️🇲🇽 @aliciabarcena salesforce.com/news/press-rel…
Marc Benioff tweet media
English
11
23
173
26K
Edgar Parada retweetledi
Figma
Figma@figma·
Hey ChatGPT, can you diagram this in FigJam?
English
158
725
7.9K
945.2K
Edgar Parada retweetledi
UNAM
UNAM@UNAM_MX·
Reciclatrón de la @fciencias ♻️: el profesor Luis Alberto Vázquez Maison reacondiciona equipos de cómputo y los dona a estudiantes de escasos recursos 💻. Ha otorgado 250 equipos en sólo tres años. Da clic a las #HistoriasUNAM de #UNAMGlobalTV > acortar.link/SVfdk7
Español
2
34
117
6.5K
Edgar Parada retweetledi
Marc Benioff
Marc Benioff@Benioff·
It started by asking “what if” humans & ai could work together Now, Salesforce is about to pass 1M AI agent conversations on our help.salesforce.com — working side-by-side with our 1M human agent conversations in Salesforce Service Cloud. AI Agents + Humans = Customer Success. ❤️🤖🤝 #Dreamforce #AI
English
39
45
208
68.6K
Edgar Parada retweetledi
Salesforce
Salesforce@salesforce·
Agentforce 3 delivers a big unlock: secure interoperability. Native support for open standards like MCP make it easy to plug agents into workflows without custom code. And 50+ 🆕 security-reviewed integrations in AgentExchange make scaling even faster: sforce.co/44mi51E
English
6
14
42
12.1K
Edgar Parada retweetledi
Marc Benioff
Marc Benioff@Benioff·
Welcome to Agentforce Marketing: Agentforce changes everything — again. It runs campaigns, personalizes every touchpoint, slashes costs. One agent for sales, service & marketing. The future of customer interaction starts now. ❤️🤖 adweek.com/media/salesfor…
English
15
37
210
25.3K
Edgar Parada retweetledi
Marc Benioff
Marc Benioff@Benioff·
Salesforce Growth:    FY26 $41.3B (guidance +$400M) FY25 $37.9B FY24 $34.9B FY23 $31.4B FY22 $26.5B Salesforce Operating Cash Flow: FY26 $14.5B (guidance) FY25 $13.1B FY24 $10.2B FY23 $7.1B FY22 $6.0B Salesforce Margin: FY26 34% (guidance) FY25 33% FY24 30.5% FY23 22.5% FY22 18.7% Salesforce Q1 Results: $9.8B Revenue +8% 32.3% Non Gaap Operating Margin $6.5B Operating Cash Flow > $100M Agentforce ARR > $1B Data Cloud & AI ARR, >120% Since October, closed 8,000 Agentforce deals, including more than 4,000 paid • Data Cloud surpassed 22 trillion records, 175% Y/Y • More than half of our top 100 deals included 6 or more clouds, nearly 60% included investments in Data Cloud and AI • On help.salesforce.com, Agentforce >1M total conversations in Q2, 7% total reductions in cases investor.salesforce.com/overview/defau…
English
25
69
593
90.3K
Edgar Parada retweetledi
Marc Benioff
Marc Benioff@Benioff·
WHAT IF?
English
30
37
264
106.4K
Edgar Parada retweetledi
Salesforce
Salesforce@salesforce·
The wait is over. Agentforce and Data Cloud are now available for FREE in the new Developer Edition. Get hands-on with the complete toolkit—build AI agents, harmonize data, and create enterprise apps fast. Sign up for your Agentforce DE today: sforce.co/3DsN02z #TDX25
English
2
25
69
6.1K
Edgar Parada retweetledi
Nauseam (in sf!)
Nauseam (in sf!)@ChadNauseam·
"A calculator app? Anyone could make that." Not true. A calculator should show you the result of the mathematical expression you entered. That's much, much harder than it sounds. What I'm about to tell you is the greatest calculator app development story ever told.
Nauseam (in sf!) tweet media
English
570
4K
33.3K
4.5M