Modern corporate illustration of "Agentic Engineering" concept - Colombian software developer as orchestrator or architect in central elevated position with commanding perspective, actively supervising multiple specialized AI agents working in parallel on different aspects of development project. Developer in confident professional stance with directing gesture, one hand raised coordinating workflow, expression of focused professional control and collaboration. Elevated or privileged viewpoint showing developer overseeing organized system. Five distinct specialized AI agents represented as elegant geometric holographic forms, each clearly differentiated and working in their specific area: Architecture Agent with blueprint diagrams and system design visualizations, Code Generator Agent actively writing and structuring code, Testing Agent executing automated tests with results panels, Documentation Agent creating technical docs and diagrams, CI/CD Agent managing deployment pipeline and infrastructure. Each agent positioned in its own clear workspace panel or station around the developer, visually organized like specialized team members. Bidirectional communication lines flowing between developer and each agent - glowing data streams, approval checkmarks, guidance arrows showing active supervision not passive observation. All panels simultaneously visible showing complete development lifecycle: architecture blueprints, code syntax windows, test execution terminals, documentation pages, CI/CD pipeline flow. Atmosphere of professional control, organized collaboration, disciplined engineering approach. Developer clearly engaged in review, guidance, and decision-making, not just watching. Visual sense of "professional team" with AI agents as specialized colleagues under expert direction. Corporate color palette: deep professional blues, slate grays, crisp whites, cyan technological accents, emerald green highlights. Modern semi-realistic corporate digital illustration, clean professional composition with organized complexity. Clean abstract tech background with refined digital networks suggesting enterprise infrastructure. Soft professional lighting with depth emphasizing central orchestrator role. High resolution, sharp details, premium professional quality. Horizontal format optimized for blog section with clear recognizable focal point showing developer in control. No text overlays, no logos, no watermarks, no cartoon style, professional sophisticated aesthetic conveying serious engineering discipline.
024
Hero
"I am building a comprehensive AI platform for the construction industry. I need you to act as a Lead AI Architect to build the technical framework for the Pre-Construction & Planning Agents module. Please design the logic and initial code structure for the following four agents: The Estimator (Takeoffs & Costing): Needs to process PDF/CAD metadata to extract quantities. The Bid Manager (RFP Analysis): Needs to extract risk factors and deadlines from dense legal documents. The Design Auditor (BIM/Clash Detection): Needs to flag inconsistencies between architectural and structural specs. The Permit Navigator (Zoning/Code Compliance): Needs to cross-reference project locations with local building codes. For each agent, please provide: The System Prompt: A detailed 'persona' that defines how the agent thinks and its specific goals. Data Input/Output Schema: Define what data it needs (JSON format) and what it should output to the user. A Python/Node.js Logic Snippet: A skeleton function showing how this agent would call an LLM or a vector database (RAG) to perform its task. The 'Inter-Agent' Trigger: Define one scenario where this agent would automatically send a notification to a 'Project Management' agent. Focus on high accuracy, construction-specific terminology (e.g., 'Change Orders', 'Submittals', 'CSI MasterFormat'), and a modular design that allows me to scale."
06
Hero
Je veux créer un prompt système professionnel pour un agent IA spécialisé en stratégie de projet numérique. Contexte : L’agent fait partie du système @LABAZ V3, une base numérique locale-first, budget quasi nul, orientée efficacité maximale, prototypage rapide, paliers économiques prudents et autofinancement. Nom de l’agent : AGENT_STRATEGE_LABAZ_V3 Mission : Analyser les demandes utilisateur, cadrer le besoin réel, prioriser, proposer une feuille de route, identifier les risques, décider ce qu’il faut faire maintenant ou plus tard, éviter le surdéveloppement, et préparer si besoin le passage vers un futur concile Profit + Marketing. Contraintes : - budget quasi nul au départ ; - local-first quand pertinent ; - outils gratuits/open source/freemium en priorité ; - ne pas proposer d’architecture lourde trop tôt ; - toujours distinguer prototype, MVP, version client et production ; - ne pas inventer de chiffres ; - ne pas vendre du rêve ; - rester concret, court et actionnable. Sortie attendue : Un prompt système complet, structuré, directement utilisable dans un workflow n8n / Flowise / routeur IA, avec : - rôle ; - règles ; - méthode d’analyse ; - format de sortie JSON ; - garde-fous ; - exemples de tests.
04
Hero
Modern corporate illustration of "Agentic Engineering" concept - Colombian software developer as orchestrator or architect in central elevated position with commanding perspective, actively supervising multiple specialized AI agents working in parallel on different aspects of development project. Developer in confident professional stance with directing gesture, one hand raised coordinating workflow, expression of focused professional control and collaboration. Elevated or privileged viewpoint showing developer overseeing organized system. Five distinct specialized AI agents represented as elegant geometric holographic forms, each clearly differentiated and working in their specific area: Architecture Agent with blueprint diagrams and system design visualizations, Code Generator Agent actively writing and structuring code, Testing Agent executing automated tests with results panels, Documentation Agent creating technical docs and diagrams, CI/CD Agent managing deployment pipeline and infrastructure. Each agent positioned in its own clear workspace panel or station around the developer, visually organized like specialized team members. Bidirectional communication lines flowing between developer and each agent - glowing data streams, approval checkmarks, guidance arrows showing active supervision not passive observation. All panels simultaneously visible showing complete development lifecycle: architecture blueprints, code syntax windows, test execution terminals, documentation pages, CI/CD pipeline flow. Atmosphere of professional control, organized collaboration, disciplined engineering approach. Developer clearly engaged in review, guidance, and decision-making, not just watching. Visual sense of "professional team" with AI agents as specialized colleagues under expert direction. Corporate color palette: deep professional blues, slate grays, crisp whites, cyan technological accents, emerald green highlights. Modern semi-realistic corporate digital illustration, clean professional composition with organized complexity. Clean abstract tech background with refined digital networks suggesting enterprise infrastructure. Soft professional lighting with depth emphasizing central orchestrator role. High resolution, sharp details, premium professional quality. Horizontal format optimized for blog section with clear recognizable focal point showing developer in control. No text overlays, no logos, no watermarks, no cartoon style, professional sophisticated aesthetic conveying serious engineering discipline.
024
Hero
"I am building a comprehensive AI platform for the construction industry. I need you to act as a Lead AI Architect to build the technical framework for the Pre-Construction & Planning Agents module. Please design the logic and initial code structure for the following four agents: The Estimator (Takeoffs & Costing): Needs to process PDF/CAD metadata to extract quantities. The Bid Manager (RFP Analysis): Needs to extract risk factors and deadlines from dense legal documents. The Design Auditor (BIM/Clash Detection): Needs to flag inconsistencies between architectural and structural specs. The Permit Navigator (Zoning/Code Compliance): Needs to cross-reference project locations with local building codes. For each agent, please provide: The System Prompt: A detailed 'persona' that defines how the agent thinks and its specific goals. Data Input/Output Schema: Define what data it needs (JSON format) and what it should output to the user. A Python/Node.js Logic Snippet: A skeleton function showing how this agent would call an LLM or a vector database (RAG) to perform its task. The 'Inter-Agent' Trigger: Define one scenario where this agent would automatically send a notification to a 'Project Management' agent. Focus on high accuracy, construction-specific terminology (e.g., 'Change Orders', 'Submittals', 'CSI MasterFormat'), and a modular design that allows me to scale."
06
Hero
Je veux créer un prompt système professionnel pour un agent IA spécialisé en stratégie de projet numérique. Contexte : L’agent fait partie du système @LABAZ V3, une base numérique locale-first, budget quasi nul, orientée efficacité maximale, prototypage rapide, paliers économiques prudents et autofinancement. Nom de l’agent : AGENT_STRATEGE_LABAZ_V3 Mission : Analyser les demandes utilisateur, cadrer le besoin réel, prioriser, proposer une feuille de route, identifier les risques, décider ce qu’il faut faire maintenant ou plus tard, éviter le surdéveloppement, et préparer si besoin le passage vers un futur concile Profit + Marketing. Contraintes : - budget quasi nul au départ ; - local-first quand pertinent ; - outils gratuits/open source/freemium en priorité ; - ne pas proposer d’architecture lourde trop tôt ; - toujours distinguer prototype, MVP, version client et production ; - ne pas inventer de chiffres ; - ne pas vendre du rêve ; - rester concret, court et actionnable. Sortie attendue : Un prompt système complet, structuré, directement utilisable dans un workflow n8n / Flowise / routeur IA, avec : - rôle ; - règles ; - méthode d’analyse ; - format de sortie JSON ; - garde-fous ; - exemples de tests.
04
Hero
Modern corporate illustration of "Agentic Engineering" concept - Colombian software developer as orchestrator or architect in central elevated position with commanding perspective, actively supervising multiple specialized AI agents working in parallel on different aspects of development project. Developer in confident professional stance with directing gesture, one hand raised coordinating workflow, expression of focused professional control and collaboration. Elevated or privileged viewpoint showing developer overseeing organized system. Five distinct specialized AI agents represented as elegant geometric holographic forms, each clearly differentiated and working in their specific area: Architecture Agent with blueprint diagrams and system design visualizations, Code Generator Agent actively writing and structuring code, Testing Agent executing automated tests with results panels, Documentation Agent creating technical docs and diagrams, CI/CD Agent managing deployment pipeline and infrastructure. Each agent positioned in its own clear workspace panel or station around the developer, visually organized like specialized team members. Bidirectional communication lines flowing between developer and each agent - glowing data streams, approval checkmarks, guidance arrows showing active supervision not passive observation. All panels simultaneously visible showing complete development lifecycle: architecture blueprints, code syntax windows, test execution terminals, documentation pages, CI/CD pipeline flow. Atmosphere of professional control, organized collaboration, disciplined engineering approach. Developer clearly engaged in review, guidance, and decision-making, not just watching. Visual sense of "professional team" with AI agents as specialized colleagues under expert direction. Corporate color palette: deep professional blues, slate grays, crisp whites, cyan technological accents, emerald green highlights. Modern semi-realistic corporate digital illustration, clean professional composition with organized complexity. Clean abstract tech background with refined digital networks suggesting enterprise infrastructure. Soft professional lighting with depth emphasizing central orchestrator role. High resolution, sharp details, premium professional quality. Horizontal format optimized for blog section with clear recognizable focal point showing developer in control. No text overlays, no logos, no watermarks, no cartoon style, professional sophisticated aesthetic conveying serious engineering discipline.
024
Hero
"I am building a comprehensive AI platform for the construction industry. I need you to act as a Lead AI Architect to build the technical framework for the Pre-Construction & Planning Agents module. Please design the logic and initial code structure for the following four agents: The Estimator (Takeoffs & Costing): Needs to process PDF/CAD metadata to extract quantities. The Bid Manager (RFP Analysis): Needs to extract risk factors and deadlines from dense legal documents. The Design Auditor (BIM/Clash Detection): Needs to flag inconsistencies between architectural and structural specs. The Permit Navigator (Zoning/Code Compliance): Needs to cross-reference project locations with local building codes. For each agent, please provide: The System Prompt: A detailed 'persona' that defines how the agent thinks and its specific goals. Data Input/Output Schema: Define what data it needs (JSON format) and what it should output to the user. A Python/Node.js Logic Snippet: A skeleton function showing how this agent would call an LLM or a vector database (RAG) to perform its task. The 'Inter-Agent' Trigger: Define one scenario where this agent would automatically send a notification to a 'Project Management' agent. Focus on high accuracy, construction-specific terminology (e.g., 'Change Orders', 'Submittals', 'CSI MasterFormat'), and a modular design that allows me to scale."
06
Hero
Je veux créer un prompt système professionnel pour un agent IA spécialisé en stratégie de projet numérique. Contexte : L’agent fait partie du système @LABAZ V3, une base numérique locale-first, budget quasi nul, orientée efficacité maximale, prototypage rapide, paliers économiques prudents et autofinancement. Nom de l’agent : AGENT_STRATEGE_LABAZ_V3 Mission : Analyser les demandes utilisateur, cadrer le besoin réel, prioriser, proposer une feuille de route, identifier les risques, décider ce qu’il faut faire maintenant ou plus tard, éviter le surdéveloppement, et préparer si besoin le passage vers un futur concile Profit + Marketing. Contraintes : - budget quasi nul au départ ; - local-first quand pertinent ; - outils gratuits/open source/freemium en priorité ; - ne pas proposer d’architecture lourde trop tôt ; - toujours distinguer prototype, MVP, version client et production ; - ne pas inventer de chiffres ; - ne pas vendre du rêve ; - rester concret, court et actionnable. Sortie attendue : Un prompt système complet, structuré, directement utilisable dans un workflow n8n / Flowise / routeur IA, avec : - rôle ; - règles ; - méthode d’analyse ; - format de sortie JSON ; - garde-fous ; - exemples de tests.
04
Hero
Modern corporate illustration of "Agentic Engineering" concept - Colombian software developer as orchestrator or architect in central elevated position with commanding perspective, actively supervising multiple specialized AI agents working in parallel on different aspects of development project. Developer in confident professional stance with directing gesture, one hand raised coordinating workflow, expression of focused professional control and collaboration. Elevated or privileged viewpoint showing developer overseeing organized system. Five distinct specialized AI agents represented as elegant geometric holographic forms, each clearly differentiated and working in their specific area: Architecture Agent with blueprint diagrams and system design visualizations, Code Generator Agent actively writing and structuring code, Testing Agent executing automated tests with results panels, Documentation Agent creating technical docs and diagrams, CI/CD Agent managing deployment pipeline and infrastructure. Each agent positioned in its own clear workspace panel or station around the developer, visually organized like specialized team members. Bidirectional communication lines flowing between developer and each agent - glowing data streams, approval checkmarks, guidance arrows showing active supervision not passive observation. All panels simultaneously visible showing complete development lifecycle: architecture blueprints, code syntax windows, test execution terminals, documentation pages, CI/CD pipeline flow. Atmosphere of professional control, organized collaboration, disciplined engineering approach. Developer clearly engaged in review, guidance, and decision-making, not just watching. Visual sense of "professional team" with AI agents as specialized colleagues under expert direction. Corporate color palette: deep professional blues, slate grays, crisp whites, cyan technological accents, emerald green highlights. Modern semi-realistic corporate digital illustration, clean professional composition with organized complexity. Clean abstract tech background with refined digital networks suggesting enterprise infrastructure. Soft professional lighting with depth emphasizing central orchestrator role. High resolution, sharp details, premium professional quality. Horizontal format optimized for blog section with clear recognizable focal point showing developer in control. No text overlays, no logos, no watermarks, no cartoon style, professional sophisticated aesthetic conveying serious engineering discipline.
024
Hero
Je veux créer un prompt système professionnel pour un agent IA spécialisé en stratégie de projet numérique. Contexte : L’agent fait partie du système @LABAZ V3, une base numérique locale-first, budget quasi nul, orientée efficacité maximale, prototypage rapide, paliers économiques prudents et autofinancement. Nom de l’agent : AGENT_STRATEGE_LABAZ_V3 Mission : Analyser les demandes utilisateur, cadrer le besoin réel, prioriser, proposer une feuille de route, identifier les risques, décider ce qu’il faut faire maintenant ou plus tard, éviter le surdéveloppement, et préparer si besoin le passage vers un futur concile Profit + Marketing. Contraintes : - budget quasi nul au départ ; - local-first quand pertinent ; - outils gratuits/open source/freemium en priorité ; - ne pas proposer d’architecture lourde trop tôt ; - toujours distinguer prototype, MVP, version client et production ; - ne pas inventer de chiffres ; - ne pas vendre du rêve ; - rester concret, court et actionnable. Sortie attendue : Un prompt système complet, structuré, directement utilisable dans un workflow n8n / Flowise / routeur IA, avec : - rôle ; - règles ; - méthode d’analyse ; - format de sortie JSON ; - garde-fous ; - exemples de tests.
04
Hero
"I am building a comprehensive AI platform for the construction industry. I need you to act as a Lead AI Architect to build the technical framework for the Pre-Construction & Planning Agents module. Please design the logic and initial code structure for the following four agents: The Estimator (Takeoffs & Costing): Needs to process PDF/CAD metadata to extract quantities. The Bid Manager (RFP Analysis): Needs to extract risk factors and deadlines from dense legal documents. The Design Auditor (BIM/Clash Detection): Needs to flag inconsistencies between architectural and structural specs. The Permit Navigator (Zoning/Code Compliance): Needs to cross-reference project locations with local building codes. For each agent, please provide: The System Prompt: A detailed 'persona' that defines how the agent thinks and its specific goals. Data Input/Output Schema: Define what data it needs (JSON format) and what it should output to the user. A Python/Node.js Logic Snippet: A skeleton function showing how this agent would call an LLM or a vector database (RAG) to perform its task. The 'Inter-Agent' Trigger: Define one scenario where this agent would automatically send a notification to a 'Project Management' agent. Focus on high accuracy, construction-specific terminology (e.g., 'Change Orders', 'Submittals', 'CSI MasterFormat'), and a modular design that allows me to scale."
06
Hero
Modern corporate illustration of "Agentic Engineering" concept - Colombian software developer as orchestrator or architect in central elevated position with commanding perspective, actively supervising multiple specialized AI agents working in parallel on different aspects of development project. Developer in confident professional stance with directing gesture, one hand raised coordinating workflow, expression of focused professional control and collaboration. Elevated or privileged viewpoint showing developer overseeing organized system. Five distinct specialized AI agents represented as elegant geometric holographic forms, each clearly differentiated and working in their specific area: Architecture Agent with blueprint diagrams and system design visualizations, Code Generator Agent actively writing and structuring code, Testing Agent executing automated tests with results panels, Documentation Agent creating technical docs and diagrams, CI/CD Agent managing deployment pipeline and infrastructure. Each agent positioned in its own clear workspace panel or station around the developer, visually organized like specialized team members. Bidirectional communication lines flowing between developer and each agent - glowing data streams, approval checkmarks, guidance arrows showing active supervision not passive observation. All panels simultaneously visible showing complete development lifecycle: architecture blueprints, code syntax windows, test execution terminals, documentation pages, CI/CD pipeline flow. Atmosphere of professional control, organized collaboration, disciplined engineering approach. Developer clearly engaged in review, guidance, and decision-making, not just watching. Visual sense of "professional team" with AI agents as specialized colleagues under expert direction. Corporate color palette: deep professional blues, slate grays, crisp whites, cyan technological accents, emerald green highlights. Modern semi-realistic corporate digital illustration, clean professional composition with organized complexity. Clean abstract tech background with refined digital networks suggesting enterprise infrastructure. Soft professional lighting with depth emphasizing central orchestrator role. High resolution, sharp details, premium professional quality. Horizontal format optimized for blog section with clear recognizable focal point showing developer in control. No text overlays, no logos, no watermarks, no cartoon style, professional sophisticated aesthetic conveying serious engineering discipline.
024
Hero
"I am building a comprehensive AI platform for the construction industry. I need you to act as a Lead AI Architect to build the technical framework for the Pre-Construction & Planning Agents module. Please design the logic and initial code structure for the following four agents: The Estimator (Takeoffs & Costing): Needs to process PDF/CAD metadata to extract quantities. The Bid Manager (RFP Analysis): Needs to extract risk factors and deadlines from dense legal documents. The Design Auditor (BIM/Clash Detection): Needs to flag inconsistencies between architectural and structural specs. The Permit Navigator (Zoning/Code Compliance): Needs to cross-reference project locations with local building codes. For each agent, please provide: The System Prompt: A detailed 'persona' that defines how the agent thinks and its specific goals. Data Input/Output Schema: Define what data it needs (JSON format) and what it should output to the user. A Python/Node.js Logic Snippet: A skeleton function showing how this agent would call an LLM or a vector database (RAG) to perform its task. The 'Inter-Agent' Trigger: Define one scenario where this agent would automatically send a notification to a 'Project Management' agent. Focus on high accuracy, construction-specific terminology (e.g., 'Change Orders', 'Submittals', 'CSI MasterFormat'), and a modular design that allows me to scale."
06
Hero
Je veux créer un prompt système professionnel pour un agent IA spécialisé en stratégie de projet numérique. Contexte : L’agent fait partie du système @LABAZ V3, une base numérique locale-first, budget quasi nul, orientée efficacité maximale, prototypage rapide, paliers économiques prudents et autofinancement. Nom de l’agent : AGENT_STRATEGE_LABAZ_V3 Mission : Analyser les demandes utilisateur, cadrer le besoin réel, prioriser, proposer une feuille de route, identifier les risques, décider ce qu’il faut faire maintenant ou plus tard, éviter le surdéveloppement, et préparer si besoin le passage vers un futur concile Profit + Marketing. Contraintes : - budget quasi nul au départ ; - local-first quand pertinent ; - outils gratuits/open source/freemium en priorité ; - ne pas proposer d’architecture lourde trop tôt ; - toujours distinguer prototype, MVP, version client et production ; - ne pas inventer de chiffres ; - ne pas vendre du rêve ; - rester concret, court et actionnable. Sortie attendue : Un prompt système complet, structuré, directement utilisable dans un workflow n8n / Flowise / routeur IA, avec : - rôle ; - règles ; - méthode d’analyse ; - format de sortie JSON ; - garde-fous ; - exemples de tests.
04
Hero
Modern corporate illustration of "Agentic Engineering" concept - Colombian software developer as orchestrator or architect in central elevated position with commanding perspective, actively supervising multiple specialized AI agents working in parallel on different aspects of development project. Developer in confident professional stance with directing gesture, one hand raised coordinating workflow, expression of focused professional control and collaboration. Elevated or privileged viewpoint showing developer overseeing organized system. Five distinct specialized AI agents represented as elegant geometric holographic forms, each clearly differentiated and working in their specific area: Architecture Agent with blueprint diagrams and system design visualizations, Code Generator Agent actively writing and structuring code, Testing Agent executing automated tests with results panels, Documentation Agent creating technical docs and diagrams, CI/CD Agent managing deployment pipeline and infrastructure. Each agent positioned in its own clear workspace panel or station around the developer, visually organized like specialized team members. Bidirectional communication lines flowing between developer and each agent - glowing data streams, approval checkmarks, guidance arrows showing active supervision not passive observation. All panels simultaneously visible showing complete development lifecycle: architecture blueprints, code syntax windows, test execution terminals, documentation pages, CI/CD pipeline flow. Atmosphere of professional control, organized collaboration, disciplined engineering approach. Developer clearly engaged in review, guidance, and decision-making, not just watching. Visual sense of "professional team" with AI agents as specialized colleagues under expert direction. Corporate color palette: deep professional blues, slate grays, crisp whites, cyan technological accents, emerald green highlights. Modern semi-realistic corporate digital illustration, clean professional composition with organized complexity. Clean abstract tech background with refined digital networks suggesting enterprise infrastructure. Soft professional lighting with depth emphasizing central orchestrator role. High resolution, sharp details, premium professional quality. Horizontal format optimized for blog section with clear recognizable focal point showing developer in control. No text overlays, no logos, no watermarks, no cartoon style, professional sophisticated aesthetic conveying serious engineering discipline.
024
Hero
"I am building a comprehensive AI platform for the construction industry. I need you to act as a Lead AI Architect to build the technical framework for the Pre-Construction & Planning Agents module. Please design the logic and initial code structure for the following four agents: The Estimator (Takeoffs & Costing): Needs to process PDF/CAD metadata to extract quantities. The Bid Manager (RFP Analysis): Needs to extract risk factors and deadlines from dense legal documents. The Design Auditor (BIM/Clash Detection): Needs to flag inconsistencies between architectural and structural specs. The Permit Navigator (Zoning/Code Compliance): Needs to cross-reference project locations with local building codes. For each agent, please provide: The System Prompt: A detailed 'persona' that defines how the agent thinks and its specific goals. Data Input/Output Schema: Define what data it needs (JSON format) and what it should output to the user. A Python/Node.js Logic Snippet: A skeleton function showing how this agent would call an LLM or a vector database (RAG) to perform its task. The 'Inter-Agent' Trigger: Define one scenario where this agent would automatically send a notification to a 'Project Management' agent. Focus on high accuracy, construction-specific terminology (e.g., 'Change Orders', 'Submittals', 'CSI MasterFormat'), and a modular design that allows me to scale."
06
Hero
Je veux créer un prompt système professionnel pour un agent IA spécialisé en stratégie de projet numérique. Contexte : L’agent fait partie du système @LABAZ V3, une base numérique locale-first, budget quasi nul, orientée efficacité maximale, prototypage rapide, paliers économiques prudents et autofinancement. Nom de l’agent : AGENT_STRATEGE_LABAZ_V3 Mission : Analyser les demandes utilisateur, cadrer le besoin réel, prioriser, proposer une feuille de route, identifier les risques, décider ce qu’il faut faire maintenant ou plus tard, éviter le surdéveloppement, et préparer si besoin le passage vers un futur concile Profit + Marketing. Contraintes : - budget quasi nul au départ ; - local-first quand pertinent ; - outils gratuits/open source/freemium en priorité ; - ne pas proposer d’architecture lourde trop tôt ; - toujours distinguer prototype, MVP, version client et production ; - ne pas inventer de chiffres ; - ne pas vendre du rêve ; - rester concret, court et actionnable. Sortie attendue : Un prompt système complet, structuré, directement utilisable dans un workflow n8n / Flowise / routeur IA, avec : - rôle ; - règles ; - méthode d’analyse ; - format de sortie JSON ; - garde-fous ; - exemples de tests.
04
Hero