By Jeet Khamar
May 4, 2026
Updated May 11, 2026
About Author
Jeet Khamar
AI Engineer
Designing constrained in-flow agents. Working on user intent understanding. Always in search of a research paper to read or revisiting a good one.
You already know what you're trying to figure out. Type it. Rocket handles everything after that.
Solve on Rocket.new converts a simple business question into a structured, board-ready deliverable in 60–90 minutes. It uses AI-driven query decomposition, parallel research agents, and shared context to ensure accuracy and depth. The result is a clear, actionable plan that connects strategy, execution, and continuous intelligence in one platform.
What happens when you type a rough business question into an AI tool and expect a board-ready answer?
Solve on Rocket.new does exactly that, turning a single plain language prompt into a structured deliverable with research, evidence, and a clear path to action within 60 to 90 minutes.
According to RAND Corporation's 2025 analysis, over 80% of AI projects fail to deliver intended business value. Rocket 1.0 was built to close that gap.
Most teams arrive at a vibe solutioning platform with a rough idea, not a polished brief. They type things like "Should we expand to healthcare in 2027?" or "Is it worth entering the German market with our B2B AI tool?" This is how vibe solutioning is designed to work inside Rocket 1.0.
Solo founders, product managers, and enterprise teams all start the same way: with a plain language prompt
Rocket 1.0 treats every business question as a candidate for a board-ready deliverable, making sure questions are answered honestly with evidence-backed insights
The same input can become a strategy doc, a launch plan, or a risk memo, depending on what you need, because the three capabilities of Solve, Build, and Intelligence all share one workspace
The vibe solutioning platform does not punish vague questions. It asks clarifying follow-ups and reshapes the inquiry before any external research begins, using the business's research to inform these decisions. A raw question like "Should we add AI features to our existing website?" gets reinterpreted into a structured decision problem covering technical feasibility, customer demand, competitive positioning, and revenue impact for that existing website.
Vibe solutioning is a process that answers "what and why" before "how," shifting the focus from code generation to strategic decision-making in product development
Most tools in the vibe coding space skip straight to writing code. Rocket 1.0 invests the first hour into mapping the business logic correctly
That distinction is where vibe coding left the hardest problems unsolved, and where vibe solutioning picks up
Solve on Rocket.new runs a "thinking pass" before it touches any data sources. This is where the vibe solution platform earns its differentiation from most tools that jump straight into generating answers.
The system breaks a single sentence into explicit dimensions: market viability, customer segment, pricing mechanics, go-to-market strategy, technical feasibility, and financial impact
This decomposition becomes a visible outline inside the Solve workspace, giving users an instant table of contents for the upcoming deliverable
Vibe solutioning employs query decomposition to break down questions into structured dimensions, allowing for focused research and analysis before any data is pulled
For ambiguous questions, the vibe solutioning platform runs a clarifying loop, surfacing assumptions like "Is your target ACV above $20K?" that users can edit in minutes. This is vibe solutioning at its core: understanding the full shape of the question before looking for answers.
A prompt like "Should we raise prices for our US SMB customers in early 2026?" becomes a multi-part plan:
| Section | Tagged Dimension |
|---|---|
| Context recap | Business Overview |
| Decision framing | Revenue Model |
| Hypotheses | Customer Impact |
| Risks | Competitive Response |
| Alternatives | Pricing Mechanics |
| Success criteria | Financial Impact |
Each section is tagged for traceability. Users can reorder, rename, or delete sections before research runs, making the blueprint collaborative. The process of query decomposition in Vibe Solutioning allows most teams to break down complex questions into manageable parts. This replaces the messy Notion docs and slide drafts that teams assemble over separate timelines during strategy sessions.
Solve on Rocket.new does not send a single monolithic query to a language model. It spins up specialized agents per dimension, each responsible for one track, such as "Market Sizing for EU Logistics" or "Competitive Landscape for AI No-Code Tools." As an app-building platform, Rocket 1.0 lets users research, build, and monitor web apps and mobile apps within one connected system Rocket provides.
Autonomous AI agents run research queries across these dimensions simultaneously using live market data
These agents run hundreds to thousands of targeted lookups across curated sources, industry reports, and public data instead of just scraping headlines
Recommendations are grounded in real-time signals, including competitor hiring patterns, news, and pricing changes
The agents share a project-wide memory in real time, so the pricing track can directly consume insights from customer behavior or regulatory tracks
Solve can simulate real-world behavior and create virtual environments to test business scenarios before execution. Most Solve runs finalize a first draft within 60 to 90 minutes. The vibe solutioning approach means teams solve the right problem before building anything, which matters because over 80% of AI projects fail due to poor problem definition.
Project memory is a persistent knowledge base that lives with the question, not the session or the chat window. Shared context means all partial findings, notes, and assumptions are written into this memory, allowing one agent's conclusion to influence another's recommendations.
The platform employs a shared context system where every research output, decision, and build artifact is stored in one place, so insights from research directly inform the building phase
When a team reopens the project months later, the full thinking history is available and editable, removing the re-explaining context problem common with separate tools
This shared context carries into Build and Intelligence, so code, UI flows, and tracking plans inherit the earlier research without switching tools or re-explaining context
With one connected system, Rocket avoids context loss from exporting docs across separate tools and organizations working on different timelines.
Solve on Rocket.new does not stop at answer paragraphs. The platform employs a structured output designed for immediate action, moving away from disorganized research output that sits in scattered strategy sessions.
Decision memos, investor-style one-pagers, full strategy docs, and 90-day execution plans
Deliverables with a call to action section for clear next steps
Findings merged into a cohesive report with executive summaries, SWOT analyses, pricing models, and competitive research
Solve generates board-ready reports with executive summaries, evidence, competitive gaps, and action plans
Every piece of research output is scored by confidence, allowing differentiation between hard evidence and logical projections. A recommendation might carry a 0.72 confidence score with cited evidence, dates, and sources, so readers see exactly how conclusions were reached. Vibe solutioning emphasizes mapping any question into structured dimensions, such as market dynamics and user needs, before any data is pulled for analysis.
Users can choose their preferred output with a toggle: "Executive Brief," "Deep Dive," or "Board Deck Outline." The deliverable includes ready-to-paste slide headings and bullet copy to accelerate execution and address deck creation faster. Sales leaders can generate deal-specific briefs with background for the call with each prospect. All deliverables carry timestamps, and users can request revisions in natural language.
Much of the current conversation around AI-led product development, or "vibe coding," is restricted to code generation. Over the past two years, most tools have optimized for execution speed: how fast prototypes can go live and how quickly code can be written. Two problems vibe coding has not solved: knowing what is worth building before a team commits to it, and knowing how market shifts affect you after launch.
The vibe coding left a gap: teams build the wrong thing because no one validated the decision first. That expensive mistake compounds across months of engineering time
The vibe coding left a gap two: after launch, competitive signals land in separate tools on separate timelines with no connection to the build
Using separate tools for strategy, building, and intelligence means re-explaining context every time, and switching tools causes most teams to lose the thread
Two problems vibe coding created are bad execution from disconnected workflows and good execution of the wrong thing. Vibe coding left these problems unsolved because most tools start at code generation and skip strategic research entirely. Problems with coding ignored are the same problems vibe coding left for teams to sort out alone.
So let's find out, how does Solve on Rocket.new convert a plain language business question into a decision-ready deliverable?
Rocket.new is a platform that connects research, building, and intelligence. Rocket 1.0 integrates strategic research, production-grade app building, and continuous competitive intelligence within one connected platform. The three capabilities cover how a business operates around a product: before the build, during it, and after launch. Once a decision is made, users turn sections of the decision doc into build tasks on the same platform.
Build turns that decision into production-ready web apps, mobile apps, internal dashboards, and customer portals without switching tools or re-explaining context
Rocket 1.0 generates Flutter code for mobile apps and Next.js for web apps that match the validated strategy
The final deliverable often includes strategy flows, product requirements documents, and early code suggestions that feed directly into Rocket's Build layer
Teams can start from scratch or bring their existing website or codebase into Rocket. Either way, the thinking feeds directly into the product
Because the build phase inherits shared context, teams skip the usual back-and-forth over requirements. Rocket 1.0 is an app-building platform where Solve feeds build, and Intelligence sharpens the next decision without teams starting over. Solve feeds build, which feeds Intelligence as one connected platform, not separate tools.
Intelligence monitors every platform a competitor operates on: website, social media, press coverage, job postings, and performance marketing. It does not just surface data. It interprets it. A pricing change, combined with enterprise sales hires and new case studies, is not three separate signals. It is one picture: a competitor making a strategic move.
Enterprise sales hires, combined with a pricing change and press coverage, are not separate signals to track in different AI tools. Rocket 1.0 picks up three separate signals that most AI tools would surface data on independently and connects them.
The launch of PR Newswire was used to officially announce Rocket 1.0's release, and the launch of PR Newswire coverage appeared across Yahoo Finance and TechCrunch. The launch addresses two problems vibe coding left unsolved.
The launch addresses the post-launch gap by providing ongoing intelligence inside your organization for continuous competitive intelligence and continuous learning. Ongoing intelligence inside the same platform means the current conversation around AI-led product development no longer stays restricted to code generation. Questions are answered honestly with evidence, not assumptions.
As the AI market matures, the distinction between tools that only accelerate execution and address speed versus platforms that handle the full arc gets clearer. The pace of change is faster than most teams can adapt using separate tools, which is why AI-powered platforms like Rocket 1.0, the AI-powered website and app building platform, matter more each quarter. Launch PR Newswire confirmed that Rocket is used by over 1.5 million people across 180 countries.
| Persona | Primary Use |
|---|---|
| Product managers | Validating features against user data, creating launch plans with success metrics |
| Solo founders | Market validation, investor updates, and funding preparation |
| Sales leaders | Battle briefs for competitive deals, account planning |
| Enterprise teams | Consolidating competitive research into a single report |
| Agencies | Turning client emails into proposals and prototype directions |
Solo founders benefit because they lack strategy analysts but need board-level decisions. A solo founder can prepare a funding update that would otherwise require an expensive external consultant. Avoiding one expensive mistake in market timing pays for the platform many times over
Enterprise teams consolidate competitive research into one ongoing intelligence report. The work that once required an expensive external consultant happens inside Rocket in hours
Solo founders and large organizations alike get a clear path to action, whether the question is about entering a new market, pricing a product, or building customer portals and internal dashboards
How fast prototypes move from idea to production-grade app building determines who wins. Production-grade app building on Rocket 1.0 means websites, mobile apps, internal dashboards, and customer portals all share the same shared context.
"The real bottleneck in product development is not building faster, but choosing better. Products rarely fail because nobody could code them. They fail because the underlying question was weak, the goal was fuzzy, or the team lost the thread between insight and implementation."- Rohan Paul on X
This captures why vibe solutioning exists as a category. Vibe coding made execution speed cheap. The current conversation around what actually needs building, and how the AI market is shifting, is where the real value sits. Every serious builder who has tried vibe coding tools alone has hit this wall: great execution speed, bad execution of the wrong thing.
Rocket.new is the world's first vibe solutioning platform, and it was built for exactly this problem: turning a business question into a structured, evidence-backed deliverable without switching tools or losing context.
Vibe solutioning platform: answers "what and why" before "how," with three capabilities covering pre-build, build, and post-launch
25k+ templates library, free to use, covering web apps, mobile apps, and internal dashboards
Saves up to 80% tokens compared to building from scratch with separate tools
Supports Flutter for mobile apps and Next.js for web apps
Collaboration features built in for large teams and solo founders
Three products, one platform: Solve, Build, and Intelligence, covering how a business operates from the first question to competitive monitoring
Rocket 1.0 covers three capabilities across the full arc of how any business operates. Three capabilities in one connected platform mean you never lose context between strategic research and production-grade app building.
Use cases connecting vibe solutioning to real outcomes:
A solo founder types "Is it worth entering the German market with our B2B AI tool by mid-2027?" and gets a market entry report with a 90-day execution plan and go-to-market strategy
A sales leader asks, "How do we win back mid-market deals we lost to a competitor?" and gets tailored battle briefs with competitive research and background for the call
An agency turns a vague client email into a formal proposal, pricing model, and prototype direction in one Solve run, replacing strategy sessions scattered across separate timelines
An enterprise team asks, "Should we ship AI-assisted onboarding for SMB customers?" and gets a launch plan with success metrics and customer portals integration requirements
Every serious builder, from solo founders to Fortune 100 teams, needs to know they are building the right thing and when market shifts happen after launch. Rocket 1.0 connects that full arc in one place. Connect the judgment to the AI-generated analysis before presenting.
Bad execution from disconnected workflows and good execution of the wrong thing both disappear when Solve feeds Build on the same platform. Accelerate execution by addressing the questions that matter with evidence. Ongoing intelligence inside the platform keeps teams aware of how a competitor operates. Continuous competitive intelligence runs while your team builds.
The gap between asking how does solve on Rocket.new convert a plain language business question into a decision-ready deliverable and holding that deliverable has dropped to under 90 minutes. If you are a serious builder tired of bad execution from disconnected workflows, Rocket 1.0 offers good execution speed from one AI-powered platform that handles strategic research through to AI-led product development.
Businesses research, build, and track competitors on one AI-powered website. Start with a real business question today and move from scattered strategy sessions to continuous learning that shapes how your business operates.
Turn your next business question into a decision-ready strategy. Start using Solve on Rocket.new today.
Table of contents
Do I need to structure a business case before using Solve on Rocket.new?
How up to date is the research behind my decision ready deliverable?
Can I edit or disagree with Rocket.new's recommendations?
What happens after I approve a decision in Solve?