Poster & Prompt Library

AR Field Engineer prompt studio

Ready-to-use, copy-paste prompts — vivid marketing poster prompts for image generators, plus practical fault symptoms, error codes, part-search queries and repair-guidance inputs a real engineer could paste into the app today. Tap Copy on any card.

Poster prompts are written for image models (Replicate, Pollinations, Midjourney, DALL·E, Imagen). Append your aspect ratio if the tool needs it (e.g. --ar 4:5). Describe people generically (an engineer, a technician) — never use fake human names, fake company names, fake counts or superlatives.
Honesty note for all copy: the AR overlay is a visualisation aid, not a certified precise registration — never imply it is a measurement-grade digital twin. The schematic always works as a 3D view from a QR scan; WebXR AR overlay is only on AR-capable Android/Chrome. The expert video call uses a public STUN server, so strict or symmetric networks may not connect. Keep all claims factual.
Marketing posters

Vivid, factual poster prompts

Seven detailed visuals for a field-service AR maintenance product. Each prompt fully describes subject, style, palette, lighting, aspect ratio and where text goes. Confident and factual — an engineer in an industrial plant with a tablet showing a glowing 3D machine schematic overlaid on real equipment, blueprint-navy and safety-orange aesthetic, no fake names or counts, no overstated claims.

Hero — AR schematic overlaid on real equipment4:5

Flagship visual for landing pages & print.

Confident, premium poster for "AR Field Engineer". A field-service engineer in a clean industrial plant, wearing a hard hat and hi-vis vest, holds a rugged tablet up toward a large piece of machinery (an industrial HVAC chiller or pump unit). On the tablet screen, and appearing to float in the air over the real machine, is a glowing 3D wireframe schematic of the machine's internals — luminous blueprint-style lines, labelled components, thin connecting lines like an exploded diagram. Palette: deep blueprint navy #1e3a8a and bright safety orange #f97316 glow against a soft near-white industrial background. Realistic plant lighting mixed with the navy-orange glow from the AR overlay, contemporary premium editorial photography, soft focus background, 8k, grounded and believable (not sci-fi). Clean negative space at the top for a headline; room for a small logo bottom-left.

Overlay text idea: "Scan the machine. See the schematic. Fix it faster." · small: "by Archana Info Solutions".
ReplicatePollinationsMidjourney --ar 4:5

Feature — scanning the equipment QR1:1

The scan-to-diagnose entry point.

Square poster showing a close-up of an engineer's hand holding a tablet, the camera aimed at a small QR-code label riveted to the side of an industrial machine. On the tablet a subtle scan reticle frames the QR, and the machine's name and status begin to appear in a clean navy-and-orange UI panel. Realistic plant environment softly blurred behind, blueprint-navy and safety-orange UI accents. Bright, focused, practical mood, natural industrial daylight, premium editorial photography, shallow depth of field, 8k. Describe the person generically as an engineer, no fake name. Clear space at the bottom for a caption.

Overlay text idea: "Every machine has a QR. Scan it to begin."
ReplicatePollinations--ar 1:1

Feature — the AI fault diagnosis4:5

The structured diagnosis feature.

Vertical 4:5 poster showing a clean tablet screen displaying an "AI Fault Diagnosis" panel: a bold diagnosis line, a small "Severity: High" chip in safety orange, a short list of "likely causes" and "recommended checks" as neat rows, and a numbered repair-steps list, against a soft near-white background with a subtle blueprint-navy grid pattern and orange accents. An engineer's gloved hand rests at the edge of the tablet, blurred. Modern, professional, trustworthy UI-focused composition, premium 8k render, soft shadows, no clutter. Clean banner space at the top for a headline.

Overlay text idea: "Symptom + error codes in. A clear diagnosis out."
ReplicateDALL·E--ar 4:5

Feature — guided repair steps1:1

The step-by-step guided repair.

Square poster showing an engineer kneeling beside an opened machine panel, following a tablet propped nearby that displays a clean checklist of numbered repair steps with orange checkmarks appearing as steps are completed. Realistic industrial setting, tools laid out neatly, blueprint-navy and safety-orange UI on the tablet. Practical, confident, hands-on mood, natural plant light, premium editorial photography, shallow depth of field, 8k. Generic engineer, no fake name. Clear space at the bottom for a one-line caption.

Overlay text idea: "A guided step-by-step repair, right on the machine."
ReplicatePollinations--ar 1:1

Feature — spare-part search1:1

The parts catalogue & AI suggestions.

Square poster showing a tablet screen with a clean spare-parts search UI — a search bar, rows of parts with part numbers, stock counts and small orange "in stock" tags, and an "AI suggested parts" panel highlighting a couple of likely parts for a fault. Behind it, softly blurred, a wall of organised parts bins in an industrial store room. Blueprint-navy and safety-orange accents, bright, orderly, premium 8k render, soft glow, shallow depth of field. Clear space at the bottom for a caption.

Overlay text idea: "Find the right part — or let the AI suggest it."
ReplicatePollinations--ar 1:1

Feature — the PDF job sheet4:5

The auto-generated job sheet.

Vertical 4:5 poster showing a crisp printed PDF job sheet lying on a workbench beside a tablet, the sheet showing a company header, equipment details, diagnosis, work performed, parts and time, with a clean layout. A small orange "Download PDF" button glows on the tablet UI above it. Blueprint-navy and safety-orange accents, soft near-white background, natural workshop light, premium 8k editorial photography, shallow depth of field. Clean space at the top for a headline.

Overlay text idea: "Every job, documented — a PDF job sheet in one tap."
ReplicatePollinations--ar 4:5

Feature — live expert video connect1:1

Remote expert assistance on a call.

Square poster showing an engineer at a machine holding a tablet on a video call: a small window shows a remote expert (a second technician in a control-room setting), while the main view stays on the machine. Blueprint-navy and safety-orange UI accents on the call controls. Realistic industrial setting, collaborative and reassuring mood, natural daylight, premium 8k editorial photography, shallow depth of field, gentle bokeh. Both people described generically, no fake names. Clear space at the bottom for a caption.

Overlay text idea: "Stuck on a fault? Call an expert on video." · keep it honest about connectivity in copy, not the image.
ReplicatePollinations--ar 1:1
Practical inputs

Sample symptoms, error codes, part queries & guidance requests an engineer could paste today

Real starting points an engineer can paste straight into the app — a symptom and error codes for the Fault Diagnosis page, part-search queries and fault descriptions for AI part suggestions, and repair-guidance requests. These are inputs YOU provide; the AI reasons only over the details given.

Symptom + error code — HVAC chillerDiagnose

A symptom and error code for Fault Diagnosis.

Equipment: HVAC chiller unit. Symptom: the unit runs but is not cooling — the compressor starts, runs for about two minutes, then shuts down and restarts in a loop. The display shows error code E01. There is ice forming on the suction line and the low-pressure gauge reads lower than normal. Error codes: E01

Use for: the Symptom + Error codes fields on AFE_FaultDiagnosis.aspx, then click Diagnose.

Symptom + error code — industrial pumpDiagnose

A second fault scenario for diagnosis.

Equipment: centrifugal water pump with a variable-frequency drive. Symptom: the pump is vibrating noticeably and making a rhythmic knocking sound at higher speeds; flow is reduced and the motor is running hotter than usual. The VFD is showing fault F034 (overcurrent) and tripping intermittently under load. Error codes: F034

Use for: a mechanical + drive fault — paste into the Fault Diagnosis page to get likely causes, checks and repair steps.

Symptom + error codes — conveyor motorDiagnose

An electrical/control fault scenario.

Equipment: belt conveyor drive motor with a PLC-controlled starter. Symptom: the conveyor will not start on the automatic cycle but does start in manual jog. When it does run, it trips the overload after a few minutes. There is a faint burning smell near the motor terminal box. Error codes: OL2, PLC-A17

Use for: the Fault Diagnosis page — note the burning smell so the AI flags the appropriate safety checks.

Part-search queryParts

A search term for the parts catalogue.

thermostatic expansion valve

Use for: the search box on AFE_PartSearch.aspx to find matching parts by name or part number (try also "contactor", "bearing", "capacitor").

Fault description for AI part suggestionsSuggest parts

A fault summary for the "suggest parts" panel.

HVAC chiller not cooling; suspected low refrigerant charge and a stuck or failing thermostatic expansion valve, with ice forming on the suction line. Compressor short-cycling.

Use for: the "AI: suggest parts for a fault" panel on AFE_PartSearch.aspx — it proposes likely parts with reasons.

Repair-guidance requestStep guidance

A step title to expand into detailed guidance.

Fault: HVAC chiller not cooling, low refrigerant suspected. Step to expand: "Check refrigerant charge and inspect the expansion valve." Please give safe, step-by-step guidance including the safety precautions and the tools likely needed.

Use for: the per-step "more guidance" action on AFE_FaultDiagnosis.aspx — expands a single step into concrete instructions.

Manual excerpt to storeManual

Manual text that becomes AI diagnosis context.

Error code reference (chiller): E01 = low refrigerant / low suction pressure lockout after repeated short-cycles. Check for refrigerant leaks, verify the charge against the nameplate, and inspect the thermostatic expansion valve and filter-drier for restriction. E02 = high discharge pressure. E05 = flow switch fault. Always recover refrigerant safely and follow the unit's lockout/tagout procedure before opening the refrigerant circuit.

Use for: the manual Content field on AFE_EquipmentList.aspx — stored per equipment and used as the AI's manual excerpt during diagnosis.

Job-report notesJob report

Notes + parts used + time for the job sheet.

Work notes: recovered refrigerant, replaced the thermostatic expansion valve and the filter-drier, evacuated and recharged the system to the nameplate charge, and confirmed stable suction pressure with no further short-cycling. Parts used: 1 x TXV, 1 x filter-drier. Time spent: 150 minutes.

Use for: the notes, parts-used and time-spent fields on AFE_JobReport.aspx before you generate the job sheet and download the PDF.
Ops & AI system

The working prompts inside the product

The exact system-prompt shapes the app uses (routed through AFE_ClaudeHelper), plus day-to-day operational prompts. Copy into your AI provider or config. Every prompt keeps the strict rule: reason only over the details provided, return strict JSON, and remind the engineer to follow the equipment's own safety procedures.

Fault-diagnosis system prompt

DiagnoseFault — a structured fault diagnosis.

You are an experienced field-service maintenance engineer. Diagnose the fault on this equipment using ONLY the symptom, error codes and the manual excerpt provided. Equipment: "{{equipment_name}}" ({{model}}). Symptom: {{symptom}} Error codes: {{error_codes}} Manual excerpt: {{manual_excerpt}} Return STRICT JSON only, no prose: { "diagnosis": "plain-language summary of the most likely fault", "severity": "low | medium | high | critical", "likelyCauses": [ "most likely cause", "another" ], "recommendedChecks": [ "a check to confirm the cause", "another" ], "repairSteps": [ { "title": "short step title", "instruction": "what to do" } ] } Base it only on the information given; if unsure, say so and recommend a confirming check. Remind the engineer to follow the equipment's lockout/safety procedure. No emojis, no hype.

Note: Saved to the job via AFE_usp_SetJobDiagnosis; steps via AFE_usp_SaveJobStep. The likelyCauses / recommendedChecks / repairSteps arrays are top-level JSON arrays — parse defensively as Object() first.
Groq / Claude APISystem prompt

Repair-guidance system prompt

RepairGuidance — expand a single step.

Give clear, safe, step-by-step guidance for this repair task on "{{equipment_name}}". Overall fault: {{fault_summary}}. Current step: "{{current_step_title}}". Return STRICT JSON only, no prose: { "steps": [ "a short, concrete instruction", "another" ], "safety": [ "a relevant safety precaution" ], "tools": [ "a tool or part likely needed" ] } Keep it practical and specific to the task. Remind the engineer to follow the equipment's lockout/tagout and safety procedure before starting. No emojis, no hype.

Note: Powers the per-step "more guidance" action on the Fault Diagnosis page.
Groq / Claude APISystem prompt

Part-suggestion system prompt

SuggestParts — likely parts for a fault.

Suggest the spare parts most likely needed to repair this fault on "{{equipment_name}}". Fault: {{fault_summary}}. Return STRICT JSON only, no prose: { "parts": [ { "partName": "", "likelyPartNumber": "a plausible/generic reference or empty", "reason": "why this part is likely involved" } ] } Only suggest parts genuinely relevant to the described fault. Do not invent exact manufacturer part numbers you cannot know — leave likelyPartNumber empty if unsure. No emojis, no hype.

Note: Powers the "AI: suggest parts for a fault" panel; suggestions can be added to inventory via AFE_usp_SavePart.
Groq / Claude APISystem prompt

Job-sheet system prompt

GenerateJobSheet — a clean job-sheet summary.

Write a concise field-service job sheet summary for this repair. Equipment: "{{equipment_name}}". Symptom: {{symptom}}. Diagnosis: {{diagnosis}}. Repair steps (JSON): {{steps_json}}. Parts used (JSON): {{parts_used_json}}. Return STRICT JSON only, no prose: { "summary": "a short, professional summary of the work performed", "workPerformed": [ "what was done" ], "recommendations": [ "any follow-up or preventive advice" ] } Keep it factual, drawn only from the details provided. No emojis, no hype.

Note: Saved via AFE_usp_SaveRepairReport and rendered into the downloadable PDF by AFE_JobSheetPdf.ashx (iTextSharp).
Groq / Claude APISystem prompt

Onboarding script

First-run welcome for a new engineer.

Act as a friendly onboarding guide. Write a short 5-step first-run script welcoming a new engineer to AR Field Engineer: (1) a warm welcome noting the app helps them diagnose and fix equipment faster in the field, (2) scan a machine's QR code to open its schematic in 3D — and overlay it in AR on supported devices, (3) enter the symptom and any error codes to get an AI fault diagnosis with likely causes, checks and repair steps, (4) follow the guided steps, search spare parts or let the AI suggest them, and generate a PDF job sheet, (5) call a remote expert on video when a fault needs a second opinion. Keep each step to 1-2 sentences, confident and jargon-free, and note the AI is decision support — always follow the equipment's own safety procedures. No emojis, no hype.

Use for: the in-app first-run walkthrough and welcome email.
ClaudeChatGPT

Demo script

Walk a prospect through the product.

Act as a product specialist. Write a 5-step demo script to show AR Field Engineer to a maintenance manager or field-service company: (1) an opening line that one scan turns a machine into a guided diagnose-and-repair workflow, (2) scan the equipment QR and show the 3D schematic, noting AR overlay works on supported devices while the 3D view works everywhere, (3) enter a symptom like "chiller not cooling, error E01" and reveal the AI diagnosis with severity, causes, checks and steps, (4) turn it into a job, tick off steps, search parts and generate the PDF job sheet, (5) start an expert video call, noting it uses STUN signalling and may need a less-restricted network on strict corporate NATs. Keep each step to 1-2 sentences, practical, confident, no jargon, no hype, and stress the AI is decision support with safety procedures always followed.

Use for: presenting to maintenance managers, plants and field-service firms.
ClaudeChatGPT

Renewal reminder

Gentle monthly renewal nudge.

Write two short renewal reminder messages for AR Field Engineer (one for WhatsApp under 60 words, one for email under 90 words) for the company "{{company_name}}" whose plan is ending on {{expiry_date}}. Remind them that keeping the plan active keeps AR maintenance, AI fault diagnosis, guided repair, parts search, PDF job sheets and expert video available for their engineers; if available, note how many equipment records or open jobs exist, using only the figures provided. End with a clear, friendly link to renew (the amount, written as "Rs. {{amount}}" per engineer per month). Factual and confident, no emojis, no pressure, no fear-mongering, no invented numbers. Indian English.

Use for: the automated renewal reminder before SubscriptionExpiry. Payment via the Razorpay flow on the Subscription page.
ClaudeWhatsAppEmail

Social captions pack

LinkedIn + Instagram, industrial-audience tone.

Write 8 short social captions for "AR Field Engineer", a tool where a maintenance engineer scans an equipment QR code, sees the machine's schematic in 3D (with AR overlay on supported devices), gets an AI fault diagnosis from the symptom and error codes plus a manual excerpt, follows guided repair steps, searches spare parts, generates a PDF job sheet, and video-calls a remote expert. Mix LinkedIn (practical, operations-focused) and Instagram (energetic, field-relatable) styles. Each under 220 characters, one clear value point, 3-4 relevant hashtags, no emojis, no superlatives, no fake counts, and never claim the AR overlay is a certified precise registration or that it works on every device. Keep the tone confident and factual, and note the AI is decision support with safety procedures always followed.

Use for: a week of scheduled posts. Keep every line factual — the AR overlay is a visualisation aid, and AR works on supported devices while the 3D view works everywhere.
ClaudeChatGPT