…
. Also we can use headings:…
etc. We need to include the e-book promotion paragraph at the end exactly as given. We must ensure word count between 450-500 words inclusive. Need to count words. We need to write about “Building Custom Prompts: Crafting Instructions for Your Specific Patent Art Area”. Use facts from e-book: do not use trademarks, ensure every feature described, use non-limiting language, essential guardrails list, weak prompt example, steps: Step1, Step2, Step3, checklist items. We need to produce actionable content, no placeholders. We must not include any thinking process or preamble. Output only article content starting with “Title: …”. Let’s craft about 470 words. We need to count words. Let’s draft then count. Draft:Solo patent practitioners can turn AI into a reliable drafting assistant by feeding it precisely structured prompts. The key is to encode the nuances of your technology area while obeying patent‑drafting rules. Below is a repeatable framework you can adapt for prior‑art searches, summaries, and application shells.
1. Role & Context Assignment
Begin by telling the model who it is and what domain it serves. Example: “You are a senior patent attorney with 15 years of experience in wireless communication systems.” This anchors the AI’s tone and depth of knowledge.
2. Input Definition & Source Material
Specify exactly what you will paste: a list of claim elements, a set of prior‑art abstracts, or a rough invention disclosure. State the format (plain text, bullet list, or JSON) and any length limits so the model knows where to focus.
3. Task Definition with Specific Output Format
Define the deliverable: “Draft a Background section of 120‑150 words, three paragraphs, each ending with a sentence that transitions to the next.” Include any required headings, numbering, or markup (e.g., Background:). A concrete format reduces post‑processing.
4. Art‑Specific Technical Instructions
Insert the rules from your e‑book: “Do not use trademarks or proprietary names; describe the generic technology.” “Ensure every feature introduced in the claims is described in the detailed description with at least one reference numeral.” “Use only non‑limiting, open‑ended language (e.g., ‘comprising,’ ‘including,’ ‘wherein’). Avoid ‘consisting of’ unless specifically instructed.” These guardrails keep the AI output compliant with USPTO practice.
5. Legal & Strategic Guardrails
Add strategic constraints: avoid admitting prior art, keep language broad enough to cover equivalents, and do not introduce new matter. If you need multiple embodiments, explicitly request them.
6. Output Formatting Directive
Finish with a formatting cue: “Return the section as plain text, no markdown, with line breaks between paragraphs.” This makes copy‑pasting into your drafting tool seamless.
Iterative Refinement: Kitchen‑Sink → Test → Slim
Quick‑Check Checklist
By following this scaffold, solo attorneys can reliably generate prior‑art summaries, background sections, and draft shells that meet substantive and formal requirements—freeing time for strategy and client counsel.
For a comprehensive guide with detailed workflows, templates, and additional strategies, see my e-book: AI for Solo Patent Attorneys/Agents: How to Automate Prior Art Search Summarization and Draft Application Shells.
Now we need to count words. Let’s count manually. We’ll need to ensure 450-500 words. I’ll copy the text and count words. Title line: “Title: Building Custom Prompts: Crafting Instructions for Your Specific Patent Art Area” Count words: Title:(1) Building(2) Custom(3) Prompts:(4) Crafting(5) Instructions(6) for(7) Your(8) Specific(9) Patent(10) Art(11) Area(12). So 12 words. Now we need to count the rest (excluding title line? Usually word count includes everything after title? We’ll include everything. Safer to count all words in the output. Let’s go paragraph by paragraph. I’ll write a simplified version without HTML tags for counting, but need to count words in the actual content (including inside tags? Usually word count counts visible words; tags not counted. We’ll count only the words we see in paragraphs. I’ll extract the visible text. Paragraph 1: “Solo patent practitioners can turn AI into a reliable drafting assistant by feeding it precisely structured prompts. The key is to encode the nuances of your technology area while obeying patent‑drafting rules. Below is a repeatable framework you can adapt for prior‑art searches, summaries, and application shells.” Count words: Solo(1) patent2 practitioners3 can4 turn5 AI6 into7 a8 reliable9 drafting10 assistant11 by12 feeding13 it14 precisely15 structured16 prompts.17 The18 key19 is20 to21 encode22 the23 nuances24 of25 your26 technology27 area28 while29 obeying30 patent‑drafting31 rules.32 Below33 is34 a35 repeatable36 framework37 you38 can39 adapt40 for41 prior‑art42 searches,43 summaries,44 and45 application46 shells47. So 47 words. Paragraph after heading “1. Role & Context Assignment”: (the heading itself is not counted? We’ll count heading words later maybe but include them as they are visible. Usually headings count. We’ll include heading text as words. Heading: “1. Role & Context Assignment” Words: 1.(1) Role(2) & (3) Context(4) Assignment(5). That’s 5 words. Paragraph: “Begin by telling the model who it is and what domain it serves. Example: “You are a senior patent attorney with 15 years of experience in wireless communication systems.” This anchors the AI’s tone and depth of knowledge.” Count: Begin1 by2 telling3 the4 model5 who6 it7 is8 and9 what10 domain11 it12 serves.13 Example:14 “You15 are16 a17 senior18 patent19 attorney20 with21 15 years22 of23 experience24 in25 wireless26 communication27 systems.”28 This29 anchors30 the31 AI’s32 tone33 and34 depth35 of36 knowledge37. 37 words. Next heading: “2. Input Definition & Source Material” Words: 2.(1) Input(2) Definition(3) &(4) Source(5) Material(6). 6 words. Paragraph: “Specify exactly what you will paste: a list of claim elements, a set of prior‑art abstracts, or a rough invention disclosure. State the format (plain text, bullet list, or JSON) and any length limits so the model knows where to focus.” Count: Specify1 exactly2 what3 you4 will5 paste:6 a7 list8 of9 claim10 elements,11 a12 set13 of14 prior‑art15 abstracts,16 or17 a18 rough19 invention20 disclosure.21 State22 the23 format24 (plain25 text,26 bullet27 list,28 or29 JSON)30 and31 any32 length33 limits34 so35 the36 model37 knows38 where39 to40 focus41. 41 words. Heading: “3. Task Definition with Specific Output Format” Words: 3.(1) Task(2) Definition(3) with(4) Specific(5) Output(6) Format(7). 7 words. Paragraph: “Define the deliverable: “Draft a Background section of 120‑150 words, three paragraphs, each ending with a sentence that transitions to the next.” Include any required headings, numbering, or markup (e.g., Background:). A concrete format reduces post‑processing.” Count: Define1 the2 deliverable:3 “Draft4 a5 Background6 section7 of8 120‑1509 words,10 three11 paragraphs,12 each13 ending14 with15 a16 sentence17 that18 transitions19 to20 the21 next.”22 Include23 any24 required25 headings,26 numbering,27 or28 markup29 (e.g.,30 Background:).31 A32 concrete33 format34 reduces35 post‑processing36. 36 words. Heading: “4. Art‑Specific Technical Instructions” Words: 4.(1) Art‑Specific(2) Technical(3) Instructions(4). 4 words. Paragraph: “Insert the rules from your e‑book: “Do not use trademarks or proprietary names; describe the generic technology.” “Ensure every feature introduced in the claims is described in the detailed description with at least one reference numeral.” “Use only non‑limiting, open‑ended language (e.g., ‘comprising,’ ‘including,’ ‘wherein’). Avoid ‘consisting of’ unless specifically instructed.” These guardrails keep the AI output