Business strategy is the bedrock of success, but the process of creating it is often slow, manual, and expensive. Weeks of research, data crunching, and brainstorming can delay critical decisions and drain valuable resources. What if you could collapse that timeline from weeks to minutes?
Introducing Reasoning as a Service. With the thinking.do API, you can integrate a powerful cognitive agent directly into your workflows. This isn't just another language model; it's a Cognitive Automation Engine designed to perform complex reasoning, strategic analysis, and problem-solving on command.
Stop waiting for reports. Start generating them. Here are five powerful business strategy templates you can use with the thinking.do API today.
A SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis is a foundational strategic planning tool. It provides a clear, concise overview of where a business stands, helping to inform everything from product development to marketing campaigns.
The Prompt:
Create a detailed SWOT analysis for a direct-to-consumer e-commerce brand specializing in sustainable, eco-friendly home goods. Focus on the current 2024 market landscape, including competition from major retailers and changing consumer attitudes towards sustainability.
The Code:
import { Do } from '@do-sdk';
const doClient = new Do({ apiKey: process.env.DO_API_KEY });
async function generateSwotAnalysis() {
const problem = 'Create a detailed SWOT analysis for a direct-to-consumer e-commerce brand specializing in sustainable, eco-friendly home goods. Focus on the current 2024 market landscape, including competition from major retailers and changing consumer attitudes towards sustainability.';
const { result } = await doClient.agent('thinking').run({
prompt: problem,
complexity: 'expert',
output_format: 'markdown_list'
});
console.log(result);
// Expected output: A well-structured markdown list detailing
// Strengths, Weaknesses, Opportunities, and Threats with specific examples.
}
generateSwotAnalysis();
Understanding your competition is non-negotiable. An agentic workflow can autonomously research competitors, analyze their market positioning, pricing strategies, and key value propositions, delivering a structured report that gives you a critical edge.
The Prompt:
Generate a competitive landscape analysis for a new B2B SaaS startup offering an AI-powered customer support chatbot. Identify the top 3 direct competitors, and for each, provide their pricing model, key features, and primary target audience.
The Code:
import { Do } from '@do-sdk';
const doClient = new Do({ apiKey: process.env.DO_API_KEY });
async function generateCompetitiveReport() {
const problem = 'Generate a competitive landscape analysis for a new B2B SaaS startup offering an AI-powered customer support chatbot. Identify the top 3 direct competitors, and for each, provide their pricing model, key features, and primary target audience.';
const { result } = await doClient.agent('thinking').run({
prompt: problem,
complexity: 'advanced',
output_format: 'json_object' // Structured data is perfect for this task
});
console.log(JSON.parse(result));
// Expected output: A JSON object with a list of competitors,
// each containing nested objects for pricing, features, and audience.
}
generateCompetitiveReport();
Launching a new product? A well-defined GTM strategy is crucial for success. Use the thinking.do agent to brainstorm and structure a complete launch plan, from identifying target channels to creating a messaging framework.
The Prompt:
Formulate a three-phase go-to-market strategy for a mobile app that uses AI to create personalized travel itineraries. The plan should cover Phase 1 (Pre-launch/Beta), Phase 2 (Launch), and Phase 3 (Post-launch Growth), including key marketing channels and KPIs for each phase.
The Code:
import { Do } from '@do-sdk';
const doClient = new Do({ apiKey: process.env.DO_API_KEY });
async function createGtmStrategy() {
const problem = 'Formulate a three-phase go-to-market strategy for a mobile app that uses AI to create personalized travel itineraries. The plan should cover Phase 1 (Pre-launch/Beta), Phase 2 (Launch), and Phase 3 (Post-launch Growth), including key marketing channels and KPIs for each phase.';
const { result } = await doClient.agent('thinking').run({
prompt: problem,
complexity: 'expert',
output_format: 'markdown_list'
});
console.log(result);
// Expected output: A detailed, multi-level markdown outline
// clearly defining each phase of the GTM strategy.
}
createGtmStrategy();
Where should your business move next? An AI-powered agent can synthesize market trends, consumer behavior data, and technological advancements to identify and evaluate new growth opportunities that human analysts might miss.
The Prompt:
Analyze the current market for remote work software. Identify three underserved niches or emerging opportunities for a new startup in this space. For each opportunity, provide a rationale based on current trends and a potential target user profile.
The Code:
import { Do } from '@do-sdk';
const doClient = new Do({ apiKey: process.env.DO_API_KEY });
async function findMarketOpportunities() {
const problem = 'Analyze the current market for remote work software. Identify three underserved niches or emerging opportunities for a new startup in this space. For each opportunity, provide a rationale based on current trends and a potential target user profile.';
const { result } = await doClient.agent('thinking').run({
prompt: problem,
complexity: 'advanced',
output_format: 'markdown_report'
});
console.log(result);
// Expected output: A business-style report detailing three
// distinct market opportunities with supporting analysis.
}
findMarketOpportunities();
A PESTLE (Political, Economic, Social, Technological, Legal, Environmental) analysis helps you understand the macro-environmental factors impacting your business. It's a high-level strategic tool essential for risk management and long-term planning.
The Prompt:
Conduct a PESTLE analysis for a company looking to expand its electric vehicle (EV) charging station network into Western Europe. Focus on key factors in Germany, France, and Norway.
The Code:
import { Do } from '@do-sdk';
const doClient = new Do({ apiKey: process.env.DO_API_KEY });
async function performPestleAnalysis() {
const problem = 'Conduct a PESTLE analysis for a company looking to expand its electric vehicle (EV) charging station network into Western Europe. Focus on key factors in Germany, France, and Norway.';
const { result } = await doClient.agent('thinking').run({
prompt: problem,
complexity: 'expert',
output_format: 'markdown_list'
});
console.log(result);
// Expected output: A structured list breaking down the Political, Economic,
// Social, Technological, Legal, and Environmental factors by country.
}
performPestleAnalysis();
You might be wondering how this differs from simply prompting an LLM. The answer lies in its agentic workflow.
Unlike a standard LLM that provides a single, monolithic response, thinking.do is an agentic system. It can autonomously break down a complex prompt like "analyze the competitive landscape" into a series of sub-tasks:
This multi-step reasoning process provides a much deeper, more reliable, and more accurate solution. Furthermore, our API provides full transparency. You can request a step-by-step log of the agent's "chain of thought" to understand exactly how it reached its conclusion, building a layer of trust that is essential for high-stakes business decisions.
Stop letting strategic analysis be a bottleneck. By integrating a reasoning engine into your applications, you can empower your teams with on-demand insights and accelerate your decision-making cycles. The future of strategy isn't about working harder—it's about thinking smarter.
Ready to automate your strategic analysis? Visit thinking.do to get your API key and start building today.