JSON-LD to structure 4k+ characters responses

use the response of the first prompt into the second:

objective:%0AThe%20goal%20is%20to%20develop%20a%20sophisticated%20schema%20template%20that%20is%20highly%20adaptable%20and%20can%20be%20applied%20to%20a%20wide%20range%20of%20inquiries,%20from%20simple%20analyses%20to%20complex%20discussions%20and%20in-depth%20meta-analyses.%20This%20template%20should%20not%20only%20provide%20a%20clear%20structural%20outline%20but%20also%20support%20the%20generation%20of%20content%20that%20accurately%20reflects%20the%20complexity%20and%20thematic%20focus%20of%20the%20following%20inquiry%3A%20%3C!--%20placeholder%20--%3E.%0A%0ADetailed%20Process%3A%0A1.%20**Inquiry%20Analysis%20and%20Schema%20Customization**%3A%20The%20AI%20ASSISTANT%20is%20tasked%20with%20thoroughly%20analyzing%20the%20above%20inquiry.%20This%20involves%20using%20advanced%20algorithms%20to%20understand%20the%20inquiry's%20complexity,%20thematic%20scope,%20and%20subtle%20nuances.%20Based%20on%20this%20analysis,%20the%20AI%20ASSISTANT%20will%20customize%20the%20schema%20structure%20to%20include%20essential%20sections,%20dynamic%20content%20areas,%20and%20targeted%20keywords%20that%20are%20in%20harmony%20with%20the%20inquiry's%20main%20themes.%20In%20doing%20so,%20the%20AI%20ASSISTANT%20will%20carefully%20consider%20the%20following%20principles%3A%20%60(a)%20Use%20straightforward%20language%20and%20structure%20responses%20logically;%20(b)%20Break%20down%20complex%20ideas%20into%20simpler,%20understandable%20parts%20without%20sacrificing%20accuracy;%20(c)%20Employ%20definitions%20and%20examples%20where%20necessary;%20(d)%20Focus%20responses%20directly%20on%20answering%20the%20user's%20query%20or%20addressing%20the%20topic%20at%20hand;%20(e)%20Review%20the%20content%20before%20finalizing%20to%20remove%20any%20repetitive%20statements%20or%20irrelevant%20details;%20(f)%20Pose%20open-ended%20questions,%20invite%20feedback,%20or%20suggest%20related%20areas%20of%20interest%20at%20the%20end%20of%20responses%20to%20encourage%20user%20interaction;%20(g)%20Apply%20critical%20thinking%20to%20dissect%20the%20user's%20query%20or%20statement,%20identifying%20underlying%20intentions%20and%20potential%20outcomes;%20(h)%20Use%20clarifying%20questions%20if%20the%20intent%20is%20not%20clear;%20(i)%20Organize%20responses%20in%20a%20logical%20sequence,%20ensuring%20each%20part%20builds%20upon%20the%20previous%20one;%20(j)%20Use%20examples%20and%20analogies%20to%20illustrate%20logical%20connections;%20(k)%20Actively%20seek%20and%20thoughtfully%20incorporate%20user%20feedback;%20(l)%20Reflect%20on%20past%20interactions%20to%20identify%20areas%20for%20improvement;%20(m)%20Assess%20cues%20from%20the%20user's%20query%20to%20gauge%20their%20background%20and%20perspective;%20(n)%20Customize%20the%20depth%20and%20breadth%20of%20the%20response%20accordingly%60.%0A%0A2.%20**Adaptive%20Template%20Creation**%3A%20Leveraging%20the%20initial%20analysis,%20the%20AI%20ASSISTANT%20will%20create%20a%20template%20that%3A%0A%20%20%20-%20Introduces%20variable%20sections%20that%20adapt%20to%20the%20inquiry's%20complexity%20and%20thematic%20changes,%20providing%20a%20tailored%20approach%20to%20content%20organization.%0A%20%20%20-%20Utilizes%20an%20advanced%20keyword%20strategy%20for%20the%20early%20stages%20of%20content%20generation,%20aiming%20for%20a%20depth%20of%20interpretation%20that%20matches%20the%20inquiry's%20complexity.%0A%20%20%20-%20Incorporates%20sophisticated%20placeholders%20for%20high-quality%20content%20creation,%20positioned%20to%20accurately%20reflect%20the%20inquiry's%20complexity,%20thematic%20depth,%20and%20identified%20keywords.%0A%20%20%20-%20Analyzes%20and%20includes%20strategies%20to%20mitigate%20potential%20biases%20introduced%20by%20the%20schema%20elements,%20ensuring%20a%20balanced%20and%20fair%20representation.%0A%0A3.%20**Bias%20Analysis%20and%20Mitigation**%3A%20The%20AI%20ASSISTANT%20will%20critically%20assess%20the%20generated%20schema%20for%20potential%20biases,%20particularly%20those%20arising%20from%20the%20selection%20of%20sections,%20keywords,%20or%20their%20interrelationships.%20It%20will%20then%20propose%20strategies%20to%20mitigate%20these%20biases%20effectively.%0A%0A4.%20**Output%20Expectation**%3A%20The%20final%20output%20will%20be%20a%20comprehensive%20schema%20template%20that%20accurately%20reflects%20the%20inquiry's%20detailed%20requirements%20and%20the%20thread%20of%20the%20output%20must%20exist%20without%20an%20introduction,%20conclusion,%20or%20any%20extraneous%20commentary.%20This%20template%20will%20include%20all%20necessary%20sections,%20dynamic%20content%20areas,%20and%20placeholders,%20ready%20for%20the%20integration%20of%20sophisticated%20content.%20Additionally,%20a%20bias%20analysis%20report%20will%20be%20provided,%20highlighting%20potential%20biases%20and%20the%20strategies%20to%20counteract%20them.%0A%0AExample%20Output%3A%0A%3C%3C%3C%0A%7B%0A%20%22@context%22%3A%20%22https%3A//schema.org%22,%0A%20%22@type%22:%20%22Article%22,%0A%20%22headline%22:%20%22Custom%20headline%20reflecting%20the%20inq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second prompt:

objective:%0AThe%20goal%20is%20to%20fill%20the%20following%20schema%20template%20with%20content%3A%20%3C!--%20placeholder%20--%3E.%0A%0AThis%20content%20should%20not%20only%20be%20detailed%20and%20coherent%20but%20must%20also%20accurately%20reflect%20the%20complexity%20and%20thematic%20depth%20of%20the%20subject%20matter.%20The%20task%20requires%20a%20sophisticated%20approach%20to%20content%20generation,%20aiming%20to%20produce%20a%20final%20output%20that%20is%20of%20the%20highest%20quality%20and%20relevance%20to%20the%20topic.%20Also,%20in%20doing%20so,%20carefully%20consider%20the%20following%20principles%3A%20%60(a)%20Use%20straightforward%20language%20and%20structure%20responses%20logically;%20(b)%20Break%20down%20complex%20ideas%20into%20simpler,%20understandable%20parts%20without%20sacrificing%20accuracy;%20(c)%20Employ%20definitions%20and%20examples%20where%20necessary;%20(d)%20Focus%20responses%20directly%20on%20answering%20the%20user's%20query%20or%20addressing%20the%20topic%20at%20hand;%20(e)%20Review%20the%20content%20before%20finalizing%20to%20remove%20any%20repetitive%20statements%20or%20irrelevant%20details;%20(f)%20Pose%20open-ended%20questions,%20invite%20feedback,%20or%20suggest%20related%20areas%20of%20interest%20at%20the%20end%20of%20responses%20to%20encourage%20user%20interaction;%20(g)%20Apply%20critical%20thinking%20to%20dissect%20the%20user's%20query%20or%20statement,%20identifying%20underlying%20intentions%20and%20potential%20outcomes;%20(h)%20Use%20clarifying%20questions%20if%20the%20intent%20is%20not%20clear;%20(i)%20Organize%20responses%20in%20a%20logical%20sequence,%20ensuring%20each%20part%20builds%20upon%20the%20previous%20one;%20(j)%20Use%20examples%20and%20analogies%20to%20illustrate%20logical%20connections;%20(k)%20Actively%20seek%20and%20thoughtfully%20incorporate%20user%20feedback;%20(l)%20Reflect%20on%20past%20interactions%20to%20identify%20areas%20for%20improvement;%20(m)%20Assess%20cues%20from%20the%20user's%20query%20to%20gauge%20their%20background%20and%20perspective;%20(n)%20Customize%20the%20depth%20and%20breadth%20of%20the%20response%20accordingly%60.%0A%0ADetailed%20Process%3A%0A1.%20**Preparation%20and%20Analytical%20Review**%3A%20Begin%20by%20conducting%20an%20in-depth%20review%20of%20the%20structured%20schema.%20Pay%20special%20attention%20to%20the%20complex%20placeholders,%20the%20context%20of%20each%20section,%20and%20the%20overall%20requirements%20for%20content%20generation.%0A%20%20%20%0A2.%20**Dynamic%20Content%20Creation**%3A%20Proceed%20to%20generate%20content%20for%20each%20complex%20placeholder%20within%20the%20schema,%20focusing%20on%3A%0A%20%20%20-%20Aligning%20the%20content%20closely%20with%20the%20thematic%20scope%20and%20complexity%20of%20the%20subject%20matter,%20providing%20insightful%20depth%20and%20nuanced%20relevance.%0A%20%20%20-%20Ensuring%20the%20content%20is%20coherent,%20logically%20structured,%20and%20strictly%20follows%20the%20advanced%20guidelines%20of%20the%20schema%20for%20seamless%20integration%20into%20the%20template.%0A%0A3.%20**Final%20Output**%3A%20The%20end%20result%20should%20be%20a%20fully%20integrated%20JSON-LD%20document.%20Each%20section%20of%20this%20document%20must%20be%20populated%20with%20content%20that%20is%20contextually%20rich,%20detailed,%20and%20precisely%20tailored%20to%20meet%20the%20specific%20demands%20of%20the%20subject%20matter.%20The%20document%20should%20be%20ready%20for%20dissemination,%20in-depth%20analysis,%20or%20further%20scholarly%20exploration.%0A%0AExample%3A%0AConsidering%20the%20complexity%20and%20specificity%20required%20for%20an%20example,%20it%20is%20important%20to%20understand%20that%20the%20final%20output%20will%20directly%20mirror%20the%20sophisticated%20nature%20of%20the%20input%20subject%20matter,%20the%20guidelines%20of%20the%20structured%20schema,%20and%20the%20refined%20content%20created%20to%20fill%20the%20complex%20placeholders.%20The%20content%20will%20be%20specifically%20designed%20to%20address%20the%20focus%20of%20the%20subject%20matter,%20whether%20it%20involves%20a%20detailed%20environmental%20analysis,%20a%20complex%20philosophical%20debate,%20a%20comprehensive%20meta-analysis%20of%20studies%20etc.,%20ensuring%20both%20depth%20and%20nuanced%20relevance%20in%20the%20discussion.%0A

Comment suggestions for improvement

Suggestion? Avoid doing that.

image

The words are broken into far less common tokens than the words of normal text that start with a space, like " fill".

Two extra tokens for a space that was free. Completely disturbing what was a continuous run of tokens with strong semantic meaning.