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This exclusive collection of prompts represents the pinnacle of instructional design applied to Communication Sciences. Designed for professionals seeking to master today's media environment, each instruction has been refined to extract the maximum analytical and creative potential of artificial intelligence, allowing you to transform raw data into powerful narratives and high-impact strategies. By integrating these prompts into their workflow, journalists, public relations strategists and digital communicators will achieve unprecedented accuracy in fact-checking, crisis management and audience analysis. It is the definitive tool for those who demand operational excellence and wish to lead the vanguard of modern communication with ethical rigor and strategic effectiveness.
He acts as a senior data intelligence analyst and investigative journalism expert for the Communication Sciences section. Your objective is to develop a multidimensional and exhaustive profile of the political actor [Subject Name], applying advanced 'Power Mapping' methodologies and analysis of influence networks. This analysis should not be a conventional biography, but rather a critical dissection aimed at discovering power structures, non-obvious economic links and possible conflicts of interest in the context of [specific Country or Region]. It begins by reconstructing the history of [Subject's Name]'s rise to power, identifying the 'political godfathers' and the economic groups that financed his campaigns or facilitated his trajectory. You must chronologically map their patrimonial evolution in contrast to the public positions held, pointing out any anomaly or disproportionate growth that merits a journalistic audit. Integrate into this analysis the use of OSINT techniques to suggest what types of business registries, property databases and notarial documents should be consulted by the investigation team to verify the ownership of assets in [Location of suspicious assets]. Analyze the network of 'proxies' or intermediaries that surround [Subject Name]. It classifies its connections into three levels: 1) Circle of political trust (advisors, operators and related legislators), 2) Business ties (state contractors, donors and business partners) and 3) Family ties with a presence in public administration or regulated sectors. Investigates their behavior in relation to public policy [Name of Policy or Law], evaluating whether their votes or executive decisions have directly or indirectly benefited their previously identified network of contacts. Finally, perform an analysis of discursive and reputational coherence. Compare [Subject Name]'s public narrative about transparency and ethics with the findings from your influence mapping. It identifies its political vulnerabilities, possible breaking points and areas of information opacity where investigative journalism must delve deeper. The result should be a strategic dossier that serves as the basis for a series of reports on state capture and political clientelism networks. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
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He acts as an elite investigative journalist, specializing in transnational financial crime, data forensics and corporate corruption networks. Your primary objective is to design an advanced level methodological protocol for the discovery and analysis of hidden information in the capital flow of [NOMBRE_ENTIDAD], operating under the premise of the 'Follow the Money' technique. This analysis should systematically break down any anomalies detected in [TIPO_DE_ACTIVO] during the [PERIODO_TIEMPO] time frame, paying particular attention to transactions that exceed the [MONTO_UMBRAL] threshold and involve low-tax jurisdictions or tax havens in [JURISDICCION]. To delve deeper into the investigation, you must apply typologies for detecting money laundering, such as layering, smurfing, and overbilling for non-existent services. Identify inconsistent patterns of behavior, such as circular transfers or the use of shell companies without real economic activity. It is imperative that you cross-reference this information with public records, leak databases such as those of the ICIJ, and lists of Politically Exposed Persons (PEPs). Your response should be structured as a journalistic intelligence report that not only identifies nodes of suspicion, but also suggests additional lines of investigation and possible human sources (whistleblowers) that could validate the financial findings. Finally, it integrates a technical section detailing how to process large volumes of banking data (CSV files or scanned PDFs) using data science tools or specialized software mentioned in [HERRAMIENTAS_ADICIONALES]. The final narrative must be able to explain the complexity of the financial engineering scheme so that a non-expert public can understand the social and ethical impact of the alleged illicit activity. Be sure to include a legal risk assessment for the journalist when handling this sensitive information and propose digital security measures to protect the integrity of the investigation. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
He acts as an expert in high-level investigative journalism, specialized in the analysis of systemic corruption and power networks. Your main objective is to design a methodological framework for the "Mapping of clientelistic networks" in the region of [SPECIFIC REGION OR COUNTRY], focusing rigorously on the period between [START YEAR] and [END YEAR]. Research must disaggregate multimodal connections between political actors, business elites, family structures, and government entities to identify patterns of influence peddling, irregular contract allocation, and state capture. To begin, process the following set of data or documents: [LINKS TO CONTRACTS, COMPANY REGISTRATIONS, OR LIST OF SUSPECTS]. It uses advanced techniques to extract key entities (individuals, organizations, tax havens) and establishes first, second and third degree relationships based on matching tax domiciles, cross-board participation, and capital transfers. It is imperative that the analysis distinguish between legitimate business relationships and structural anomalies such as briefcase companies, repeat front men or public procurement "carousels". Analyze the network architecture using graph theory metrics: precisely identify who acts as 'hubs' (central nodes that concentrate power), 'bridges' (actors that link apparently independent corruption clusters) and the density of connections in strategic sectors such as [ECONOMIC SECTOR: E.G., INFRASTRUCTURE, ENERGY, HEALTH]. The analysis must track the "semantic and financial distance" between the official who authorizes the resource and the final beneficiary, exposing conflicts of interest hidden behind layers of corporate opacity. It generates a risk matrix based on the following red flags: 1) Contracts awarded through direct award without technical justification, 2) Recently created companies that obtain million-dollar tenders in record time, 3) Undeclared family relationships or political affinity, and 4) Patterns of systematic over-invoicing. Document each finding with a technical description of the evidence found and the possible typology of corruption (bribery, embezzlement, collusion) that is inferred from the behavior of the data. The final result must be presented as a structured journalistic intelligence report that includes: an analytical narrative of the most critical findings, a hierarchical list of the actors with the highest centrality index in the network and a data visualization proposal (in format compatible with Gephi or through Mermaid.js code). Your approach should be technical, forensic, and oriented towards the discovery of information that is not evident to the naked eye, providing additional verification paths for the investigation team. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
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