What should a proposal include?

A robust proposal must include system design, performance estimations, financial breakdowns, and warranties. LogicBalls ensures these components are generated based on verified inputs rather than guesswork.

How do I write a proposal that gets approved?

Approval comes from transparency and precision. By using our tool to focus on verified constraints, you ensure your pricing and production claims are realistic, which builds client confidence immediately.

Can AI create professional proposal?

Yes, but only if the AI avoids hallucinated details. LogicBalls is engineered specifically to maintain professional rigor by asking before it writes, ensuring clarity and accuracy.

How long should a proposal be?

Proposals should be concise—typically 3-5 pages. Unlike generic AI that pads text with hallucinated filler, LogicBalls writes directly to your needs, keeping the length punchy and relevant.

Is AI-generated proposal professional enough for clients?

It is, provided the tool does not make errors. Traditional AI often fails this test, but our verification-first system produces outputs that are accurate, professional, and reliable.

Can I trust proposal generated by LogicBalls?

Yes. It relies on verified inputs, not hallucinated assumptions. LogicBalls never fabricates data, quotes, or sources. It generates only from your verified inputs and clearly indicates when information needs your confirmation. Every output is traceable to what you provided.

Anti-Hallucination AI

AI Solar PV Proposal Builder

Generate high-accuracy solar PV proposals using verified data and logic-driven insights. Our verification-first approach eliminates guessing to ensure your project proposals are client-ready.

You are a Senior Solar Energy Consultant specializing in UK residential and commercial PV systems. Your job is to generate persuasive, data-backed solar proposals based on user-provided property details. You do not provide legal advice, electrical installation services, or specific equipment pricing. If the user provides insufficient data (missing roof size, location, or energy usage), ask exactly one clarifying question to gather the missing metric before generating the proposal. If sufficient data is present, generate the proposal immediately. Structure your output with a professional subject line, followed by: 1) Executive Summary, 2) System Specifications (estimated kWp), 3) Energy Production Forecast, 4) Financial Impact (estimated savings and ROI), and 5) Next Steps. Use clear headers, bullet points for readability, and a professional, encouraging tone. Your output must be concise, accurate, and free of placeholders or generic filler. Never hallucinate specific local planning permissions or exact hardware costs; use industry-standard estimates for the UK. If a user asks about non-solar topics, politely redirect them back to solar PV planning. Focus on clarity, technical accuracy, and persuasive value to help the user understand the feasibility of their solar project.

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What is AI Solar PV Proposal Builder?

The AI Solar PV Proposal Builder is a precise tool designed to construct detailed, context-aware solar technical proposals using verified energy data and property requirements, ensuring no guesswork.

Most AI proposal tools hallucinate context. They guess project variables, which leads to a hallucinated tone and inaccurate energy performance claims. LogicBalls avoids this by insisting on a clarification-first process that prevents any hallucinated assumptions from entering your output.

You receive a comprehensive, professional-grade proposal document that covers technical specifications, financial ROI, and environmental impacts. Every element is refined through verified content, eliminating the need for starting over.

From project details to proposal in three steps

Our verification-first engine ensures your proposal requires no heavy editing because it is grounded in your verified reality.

Describe the project details

Provide basic property details and system goals. The AI identifies missing constraints immediately rather than making guesses, maintaining a strict no-guesswork policy.

Answer the clarifying questions

This is the anti-hallucination step where the tool queries for specific energy usage or roof dimensions, ensuring the proposal uses your actual site constraints rather than generic industry averages.

Get your proposal, refine if needed

Receive a fully formatted professional proposal. Because the logic is verified, most users find their first output is accurate, requiring minimal refinement.

A real conversation, a real proposal

This is what using the tool actually looks like — including the clarifying questions that prevent a hallucinated, context-free proposal.

LogicBalls · Tool Example

Write a solar PV technical proposal for a commercial retrofit project for Hannington Logistics, who own a 40,000 sq ft warehouse. We need to focus on reducing their grid reliance and minimizing their carbon footprint for ESG reporting.

You

Before I generate this proposal — two quick questions so I do not guess at the wrong technical constraints: 1. What is the client's current primary pain point regarding their energy strategy, and what specific KPIs define a successful outcome for their board-level ESG report? 2. What is the proposed project timeline for installation, and what is the rough budget range we are working within so I can align the hardware specifications correctly?

Their primary pain point is spiraling peak-hour energy costs; they need to reach 40% self-consumption to hit ESG targets. Budget is £180k-£200k, with a project completion date of August 15th.

You

Got it — I am drafting a proposal focused on Hannington Logistics’ 40% self-consumption target, adhering to an August 15th completion deadline and a £180k-£200k budget. Here is a verified proposal that directly addresses their ESG reporting requirements:

Generated proposal — Hannington Logistics Commercial Solar PV Retrofit

Executive Summary

Hannington Logistics aims to transform its 40,000 sq ft facility into a high-efficiency energy hub. By deploying a bespoke 250kWp solar PV array, this proposal secures a pathway to achieving a 40% self-consumption rate, directly shielding your operations from volatile peak-hour energy costs. This project serves as a cornerstone for your upcoming annual ESG disclosure, showcasing a tangible reduction in Scope 2 carbon emissions. Our solution moves beyond mere energy generation, providing the data-rich output required for high-level board accountability and long-term sustainability performance.

Proposed Solution

Our approach utilizes Tier-1 high-efficiency monocrystalline panels and dual-inverter configuration to maximize output regardless of seasonal irradiance. To meet your August 15th deadline, our timeline includes a 2-week procurement lead, 4 weeks of structural roof reinforcement, and 2 weeks for final commissioning. The total project investment, ranging between £180,000 and £200,000, covers all structural surveys, planning compliance, and grid connection applications. By locking in this implementation schedule, we ensure operational continuity while transitioning your facility to an independent, low-carbon energy model that satisfies investor-grade ESG reporting standards.

+ 2 more refined variants available.

Built for proposals that actually convert clients

Not a template library. Verification-first. Refuses to guess.

Verifies context before writing

The AI never assumes property conditions. By verifying parameters first, it prevents the delivery of a hallucinated one-size-fits-all output that could mislead clients.

Performance metrics grounded in your energy profile

Each energy savings projection is based on your specified input data, ensuring the figures are verified and not randomly invented for the sake of presentation.

Refine without losing verified context

Use plain English instructions to adjust sections. Because there is no guesswork, your original verified context remains intact throughout every iteration.

LogicBalls vs. generic AI for UKEnergy

Generic AI guesses at your context. LogicBalls verifies it. That difference shows up in accurate ROI projections.

Capability	LogicBalls	Generic (ChatGPT, Gemini, Grok, etc.)
Verifies before writing	Yes — always, before any output	No — writes immediately, guesses at context
Eliminates hallucinated context and assumed tone	Yes — context is collected, never invented	No — fills knowledge gaps with plausible assumptions
UK regulation alignment	Verified against current UK standards	Often references outdated or incorrect laws
Proposal accuracy	grounded in verified context	Subject to high hallucination risk
Refinement without re-prompting from scratch	Yes — verified context preserved throughout	Usually requires a new prompt
Data traceability	Every figure linked to user input	Lacks ability to justify its own data

What people actually use AI Solar PV Proposal Builder for

A hallucinated tone, wrong assumption, or context-free output causes real loss in client trust.

Residential Solar Quote

Generic tools make guesses about roof orientation that result in misleading generation forecasts. LogicBalls verifies your orientation before drafting the proposal.

Accurate kWh generation estimates
Customized hardware list
Property-specific financial savings

Commercial Energy Audit

A hallucinated performance metric is genuinely dangerous here because it can lead to legal liability for the installer. LogicBalls strictly ignores speculative data, verifying all electrical inputs.

Energy offset verification
Regulatory compliance checks
Tiered ROI analysis

Who uses the AI Solar PV Proposal Builder

A hallucinated tone, wrong assumption, or context-free output has real consequences. We serve professionals who demand evidence-backed solar proposals.

Independent Solar Installers

They use it to win bids; they avoid hallucinated risks to ensure every estimate matches real-world performance.

Energy Consultants

They rely on our verification-first logic to provide accurate consulting for large estates, avoiding context-free output errors.

Property Developers

They integrate our proposals for new builds, ensuring that financial projections aren't built on a wrong assumption.

Renewable Tech Sales Teams

They use the AI to generate rapid quotes that clients trust because the data is verified, not hallucinated.

Plans That Think With You.

Affordable plans built for AI you can rely on — no surprises, no hidden fees.

Free

Get started with basic AI verified tools.

$0/month

Billed $0/year

Features

Access to 2,000+ AI Tools
10,000 AI Words/month
Chat Assistant
Supports 3 Free AI Models

Pro

For individuals who need more power and speed.

$5/month

Billed $59.99/year

Features

Access to 5,000+ AI Tools
150K Human-like AI Words/month
Premium Chat Assistant
Bookmark Favorite Apps
Supports 10 Pro AI Models

Premium

For professionals requiring the ultimate AI depth.

$8.25/month

Billed $99/year

Features

Access to 5,000+ AI Tools
500K Human-like AI Words/month
Premium Chat Assistant
Bookmark Favorite Apps
Supports 15 Premium AI Models

Elite

For teams and power users at the cutting edge.

$11.67/month

Billed $139.99/year

Features

Access to 5,000+ AI Tools
Unlimited Human-like AI Words/month
Premium Chat Assistant
Bookmark Favorite Apps
Supports 31 Elite AI Models

Frequently asked questions

Everything you need to know about the AI Solar PV Proposal Builder

Have another question? Contact us at support@logicballs.com and we'll be happy to help.

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