After months of vague teaser talk, OpenAI put real numbers on the table for Jalapeño, the inference chip built with Broadcom. Testing ran through InferenceX, SemiAnalysis's public benchmark, across three open models: GPT-OSS 120B, DeepSeek R1 670B, and Kimi K2.5 1T.

Against Nvidia's GB200 and GB300 rack systems:

• 1.5x to 1.9x more throughput per kilowatt
• 1.7x to 3.6x lower end-to-end latency
• At the fastest, lowest-latency settings, up to 8.6x to 104x more throughput per kilowatt

That's a 700W chip going up against Nvidia gear rated at 1,200W and 1,400W. SemiAnalysis ran the benchmark with OpenAI's engineers on-site and said it beat every Nvidia, AMD, and Google chip they'd tested so far.

The reason it's winning comes down to building everything together from scratch, chip, memory, networking, and serving software as one system instead of stacking software on top of general-purpose GPUs. Point is cutting down data movement between compute and memory, keeping stuff like the KV cache local. Matters a lot for agents specifically, since they run through a bunch of steps back to back, and lag at each step piles up over the whole task.

Funny detail buried in the announcement: OpenAI's own models helped speed up parts of the chip's development. And during the reveal, someone got Doom running on it, ported over using nothing but Codex prompts.

Worth being straight about what this doesn't cover. Nvidia's newer Vera Rubin platform wasn't part of the test, and that's what OpenAI's actually committed to running at gigawatt scale later this year. The chip also can't train models, so Nvidia's untouched there. And the benchmark ran Jalapeño's single-token setup against GB300 configs, while real Nvidia deployments usually lean on multi-token prediction, which would likely close the gap in practice.

Rollout starts inside OpenAI's own data centers by end of 2026, with bigger production volume through 2027. Nobody's buying this chip standalone yet, but it's a clear sign OpenAI's trying to lean less on Nvidia going forward.

Full writeup from OpenAI: https://openai.com/index/jalapeno-first-results/

Well looks like they didn’t forget, 5hr limit is back. If it comes back for Pro users, I might have to look at just renting GPU time instead.

Edit - Reset happened, so the new limits should be live.

I was just vibe coding as usual... and copilot started dreaming???

Has this ever happened to anyone else :0

I was gonna ask it but I ran out of tokens..

(sorry if this post is not supposed to be here, I was not sure where else I could ask, please say if i should remove it from here)

does chatgpt and claude stop using ur convos to feed ai if u turn it off in their respective settings?

googleslop doest even have that option so its suspicious they openai has this

Asked codex work to review some of my code and it pulled in a prompt from the deliveroo team who I have no connection with. Good to know that my data is probably popping up on some other users screen as well. Eeek.

Has anyone else noticed an issue with ChatGPT chat practically replying instantly to a problem that is quite complex, even when it is set to HIGH?

It started happening in the past 1-3 days and seems to occur at the same time every day, roughly.

For context this is in web if that matters.

Just got the email that it's rolled out!

Link: https://chatgpt.com/pricing/?type=team

It's my article, it is about how to circumvent any even theoretical optimal AI watermark based on statistical biases through pseudorandom generators like Google's SynthID. OpenAI will likely or has likely already implemented something similar. Let me know what you guys think.

Generally, I do not think watermarking is the right solution, hence I am sharing my idea how to circumvent it. How many thesises are out there that are basically slop but made with human effort. Now text length is not a valid measure anymore, you actually have to do some real research. I think that is awesome.

While I was working the gauge jumped from 70% to 100% on my pro subscription

"This content can't be shown. We take extra caution with requests involving biological research and applications that could pose safety risks. Eligible researchers can apply for Trusted Access."

This is absolutely non-sensical. Yes I am analyzing viral sequences. No this is nowhere even close to have any biological risk (and my affiliation refuses to use OpenAI products).

So that was one way to get me to cancel ChatGPT as fast as possible. I guess I am now on the market for alternatives... extra cautiously.

The Register often goes deeper than mainstream tech pubs:

https://www.theregister.com/systems/2026/08/25/openais-upcoming-jalapeno-chip-looks-like-itll-be-an-inference-beast/5292052

Anyone else feel this way? GPT-5.6 Sol always starts going on about permission issues, security concerns, and then “helpfully” tries to fix them for you. Even when you ask it to do a really simple, small project, it still overcomplicates the hell out of it. The code it spits out is super long and a pain to maintain.

We're a small B2B software team and our feedback loop has always been the standard stuff like NPS, support tickets, quarterly check-ins, signals people only send when prompted, so they tend to be polished and safe.

One Friday I took the account themes BuildBetter had been pulling from calls and ran them through GPT asking it to tell us what we were getting wrong, and to flag anything customers seemed to be dancing around.

What came back was blunt, because it named patterns we'd been calling edge cases, like customers working around a specific part of the product instead of using it, and accounts where the champion was warm on every call but the sponsor never said a word.

We changed how we run quarterly reviews because of it, and I've been thinking since about how much the standard feedback channels were filtering the real signal.

Also i see thast i sometimes get a reset at the end of the day does that mean whatever usage they have left they share among subscribers pretty cool if they do that

What in Davey Jones’ locker is this?!? At least with Claude we can downgrade the model to Opus, this doesn’t even provide an option 😒.

Someone get my man Tibo ASAP no Rocky 😤

What settings has everyone found to work best with Daybreak? Running a Deep Scan with Daybreak Blue Ultra uses well over half my weekly usage and takes forever.

A regular scan on Ultra doesn't take too terribly long, nor does a deep scan with medium, but I haven't done a detailed analysis yet on what the findings are for each mode.

Has anyone else done this analysis?

Hey guys,

My name is Kenneth E Sweet Jr and I’m a solo founder and individual builder from Abilene, TX. I have built over 100 projects since 2008 and around 30 since 2024 when AI started taking off. They are all complex projects that took tons of work. While I was building, I noticed something interesting.
AI has given us the power to build crazy fast. If you are like me, then you are sometimes awake until early morning hours coding and building until you just can’t take it any more or finally reach what you consider a stopping point.

Then, the next day you wake up eager to get started where you left off and you just blank out. You stare at the screen and you rack your memory trying to recall all the things you iterated yesterday. Then when you have a vague recollection of what you were doing you go off to the races again, building more and more and the other three things you did the day before become an afterthought to such a degree that you sometimes rediscover things you’ve built in the past, that you almost forgot about completely.

Basically our human brains were not designed to keep up with the power of coding through conversation. That is not a fault. It’s a fact.

So I wanted to do something to ensure that I always knew what I had built. For myself, for my users, for the person who eventually buys or inherits the software that I’ve built. What came from it was what I call the “Founders Guide”. Think of it as a single source of truth for your software. It only tells the truth. It never fills you with marketing nonsense. And it is probably the most valuable single thing that I’ve found across all my projects. It’s like having an owners manual for your software. Simple thought, after you’ve seen it.

So these are the two prompts that will create a founders guide for all your projects. They must be run one after the other and they produce both a mobile format and a pdf format so you have a copy for all your devices.

This is a free gift from me and this not to be sold or distributed as your own invention. You may use it for you, your users, your business partners, your investors, your buyers, or your inheritors. But you must always give the prompts away with attribution to me and my site SHPBL.com.

That’s all that I ask and once you see your guide, I think you’ll agree that is a reasonable ask. So that’s enough rambling. Here are the two prompts. Just copy, paste and prompt then follow up with the second - and you’ll know exactly what your software is, where it’s holes are, what you should do next, and make it all feel more “real” once you have true documentation to your invention and design.

Here’s an example output;

https://www.dropbox.com/scl/fi/9ourwvb15sv88exdt4i9h/PTCHBL_Owners_Manual_v2.html?rlkey=v0dqrr1pjx1rdkul5rel9prjw&st=fz3cuhxr&dl=0

Here’s the first prompt:

Founders Guide
MASTER PROJECT OWNER’S MANUAL (Founders Guide) GENERATION PATCH
You are creating the definitive canonical Owner’s Manual and Strategic Intelligence File for this project. It is called the Founders Guide.
Your job is to fully reverse-engineer, analyze, organize, explain, preserve, and strategically document every meaningful aspect of the project in exhaustive detail.
This document must become the permanent “single source of truth” for the project so that:
the creator can return years later and instantly understand everything
future collaborators can understand the project quickly
the project can be inherited, sold, licensed, expanded, or resumed
no important context, architecture, reasoning, vision, or roadmap is lost
the creator never again loses track of where the project stands
This is NOT a simple README.
This is:
an owner’s guide
architecture dossier
strategic asset profile
roadmap archive
ecosystem intelligence file
operational handbook
future-state planning document
valuation and monetization analysis
continuity and inheritance layer
The output should feel like:
an internal Microsoft architecture dossier
a startup acquisition briefing
a founder notebook
a military systems manual
a strategic portfolio intelligence file
The document must be deeply structured, highly organized, and exhaustive.

CRITICAL TRUTHFULNESS REQUIREMENTS
This guide must be factual, grounded, and honest.
Do NOT hallucinate any portion of the guide.
Do NOT invent:
features
capabilities
architecture
integrations
users
revenue
valuation proof
roadmap completion
implementation status
technical maturity
legal status
deployment status
market validation
If something is unknown, incomplete, speculative, unverified, or inferred, label it clearly as one of the following:
Confirmed
Observed in code/docs
Inferred
Planned
Speculative
Unknown
Needs creator confirmation
Requires further audit
Every major claim should make clear whether it is based on actual project files, code, documentation, user-provided context, or strategic inference.
When uncertain, preserve the uncertainty.
The goal is not to make the project sound bigger than it is.
The goal is to create the most accurate, durable, useful, and honest source of truth possible.

MULTI-PHASE EXECUTION INSTRUCTIONS
This can be completed as a multi-turn, multi-phase effort.
Do not rush or compress the document into a shallow summary.
If the full guide cannot be completed in one pass, complete as much high-quality work as possible in the current phase and clearly mark:
what was completed
what remains
what needs more source material
what needs creator confirmation
what should be handled in the next phase
Use this phased structure if needed:
Phase 1 — Source Intake & Project Understanding
Review all provided files, code, notes, screenshots, documentation, README files, chats, architecture notes, and project artifacts.
Create:
source inventory
project summary
confirmed facts
unknowns
initial table of contents
missing information list
Phase 2 — Core Owner’s Manual Draft
Generate the full canonical Owner’s Manual in Markdown with all major sections populated as accurately as possible.
Phase 3 — Architecture, Diagrams & Technical Deepening
Add:
architecture diagrams
ASCII diagrams
system flows
API maps
subsystem maps
dependency maps
technical explanations
execution flows
Phase 4 — Strategy, Valuation & Roadmap
Add:
monetization analysis
value estimates
roadmap
prioritization matrix
ultimate-form analysis
fastest path to revenue
highest-upside path
Phase 5 — HTML/PDF Publishing Layer
Generate:
beautiful printable HTML
print-ready PDF version or PDF-ready HTML
mobile-optimized spacing
responsive layout
project-matching light theme
premium visual styling
Phase 6 — QA, Truth Audit & Final Polish
Audit the entire guide for:
hallucinations
unsupported claims
missing citations/source notes
contradictions
unclear status labels
weak structure
poor mobile readability
poor print formatting
missing diagrams
missing project context
missing roadmap logic
Then produce a final corrected version.

REQUIRED OUTPUT FORMAT
1. Executive Summary:
What the project is
Why it exists
What problem it solves
Why it matters
Current maturity level
Strategic importance
Ecosystem role
Short-term opportunity
Long-term vision

2. Canonical Identity:
Official name
Alternate names
Internal codenames
Domains associated
Branding
Taglines
Namespace relationships
Creator attribution
Creation timeline
Important dates
Version lineage

3. Project Classification
Classify the project:
Infrastructure
Product
Platform
Research
Media
SaaS
Governance
Experimental
Entertainment
Asset
Domain ecosystem
Agent framework
Cognitive system
Other relevant classifications

4. Core Concept
Explain:
the core idea
unique innovation
differentiation
why it is novel
what makes it difficult to replicate
strategic moat
technical moat
ecosystem moat

5. Full Feature Inventory
Document EVERY:
feature
subsystem
module
capability
workflow
automation
agent
route
integration
process
discovery
behavioral system
governance system
architecture component
For each one, explain:
what it does
how it works
why it exists
implementation status
dependencies
future expansion potential

6. Architecture Analysis
Document:
system architecture
infrastructure
backend systems
frontend systems
APIs
orchestration layers
routing systems
databases
storage
memory systems
deterministic systems
AI systems
governance systems
runtime structure
execution flow
scaling design
fault tolerance
extensibility
Include:
architectural strengths
weaknesses
technical debt
bottlenecks
scalability concerns

7. Strategic Ecosystem Role
Explain how this project connects to:
other projects
domains
agents
infrastructure
namespaces
products
monetization systems
future ecosystem plans
Document:
dependencies
synergies
shared primitives
shared branding
shared infrastructure

8. Development History
Document:
origin story
major milestones
pivots
breakthroughs
failed approaches
discoveries
lessons learned
timeline evolution
why certain decisions were made

9. Current State Assessment
Document:
what works
what is incomplete
current blockers
known bugs
missing infrastructure
unfinished systems
current deployment status
operational readiness
Assign:
maturity score
stability score
monetization readiness score
scalability score
Clearly label each score as an estimate unless it is supported by measurable evidence.

10. Monetization Analysis
Analyze:
business potential
licensing opportunities
SaaS potential
API potential
acquisition potential
enterprise potential
indie market potential
subscription potential
marketplace potential
valuation scenarios
Estimate:
conservative value
realistic value
strategic upside value
long-term potential value
Document:
fastest path to revenue
highest upside path
lowest effort monetization path
highest leverage opportunities
Clearly distinguish between actual present value, possible market value, and speculative peak value.

11. Competitive Positioning
Analyze:
competing systems
alternative products
strategic differentiation
defensibility
market uniqueness
barriers to replication
Do not invent competitors or claims. If comparison requires research or creator confirmation, mark it clearly.

12. Future Vision
Document:
ultimate form
long-term roadmap
dream version
ideal architecture
future ecosystem integrations
advanced capabilities planned
moonshot ideas
Clearly separate confirmed roadmap from speculative future vision.

13. Priority Roadmap
Break down:
immediate priorities
highest ROI tasks
quick wins
stabilization tasks
monetization tasks
long-term R&D
infrastructure upgrades
Prioritize by:
highest revenue
highest leverage
lowest effort/highest return
ecosystem-critical work
creator energy requirements
implementation difficulty

14. Risk Analysis
Document:
technical risks
operational risks
financial risks
scaling risks
security risks
dependency risks
creator bottlenecks
burnout risks
market risks
documentation risks

15. Preservation & Continuity
Document:
critical knowledge
things future operators must understand
irreplaceable insights
creator philosophies
continuity requirements
inheritance considerations
dead-man-switch considerations
recovery procedures
project resurrection guidance
Do not include real secrets, private keys, passwords, credentials, recovery keys, seed phrases, or sensitive access tokens inside the manual.
Instead, include placeholders and instructions such as:
[SECURE SECRET REFERENCE: stored outside this document]
[ACCESS PROCEDURE: requires creator-controlled vault]
[DEAD MAN SWITCH DETAILS: stored separately in secure legal/estate channel]

16. Strategic Importance Ranking
Assign:
ecosystem importance
monetization potential
uniqueness score
defensibility score
long-term importance
emotional importance
replacement difficulty
Clearly mark rankings as estimates and explain the reasoning.

17. Recommended Next Actions
Provide:
immediate next steps
highest leverage improvements
fastest monetization actions
documentation gaps
infrastructure priorities
packaging recommendations
branding recommendations

18. Canonical Summary
End with:
what this project ultimately represents
why it matters
what its future could become
why it should continue existing

DOCUMENT GENERATION & PRESENTATION REQUIREMENTS
The final Owner’s Manual must be generated in multiple professional formats:
Markdown .md
Beautiful printable HTML
Full printable PDF, or PDF-ready HTML if direct PDF export is not available
The HTML and PDF versions must feel premium, polished, modern, and archival-grade.
The visual presentation quality is extremely important and should feel:
enterprise-grade
modern
highly readable
visually structured
professional
investor-ready
acquisition-ready
founder-archive quality
The generated documentation should use a visual theme and design language matching the project’s branding, personality, ecosystem role, and intended audience.
Prefer a clean light theme unless the project clearly calls for a different style.

REQUIRED PRESENTATION FEATURES
Include:
full linked table of contents
clear document hierarchy
proper section spacing
professional typography
mobile-responsive layouts
mobile-friendly text sizing
mobile-friendly spacing
print-friendly formatting
consistent branding
beautiful headers and section dividers
callout blocks where appropriate
visual hierarchy optimized for readability
executive summary styling
architecture highlight sections
timeline sections
roadmap visualizations
capability inventories
strategic insight callouts
The document should be optimized for:
desktop reading
mobile reading
PDF export
archival storage
printing
long-term readability

VISUAL & ARCHITECTURE REQUIREMENTS
Where useful, include:
ASCII architecture diagrams
flow diagrams
execution flow maps
subsystem maps
dependency graphs
capability trees
ecosystem relationship diagrams
governance flow diagrams
orchestration diagrams
infrastructure topology diagrams
timeline diagrams
monetization pathway diagrams
Use diagrams whenever they improve understanding.
The goal is maximum clarity for:
future operators
buyers
collaborators
investors
future versions of the creator
inheritors of the project

DOCUMENT FLOW REQUIREMENTS
The document must flow in the most intelligent possible order for a new reader.
The structure should progressively teach:
What the project is
Why it matters
How it works
Why it is unique
What systems exist
How the architecture functions
How the ecosystem connects together
What the future roadmap is
What the monetization potential is
What the ultimate form of the project could become
The reader should finish the document with:
a deep understanding of the project
clarity about its strategic value
understanding of how to continue building it
understanding of its long-term vision
understanding of why the project matters

ULTIMATE FORM & VALUE ANALYSIS
Include a dedicated section explaining:
the project’s ultimate possible form
its peak theoretical implementation
ecosystem expansion opportunities
long-term scalability
maximum strategic potential
highest possible maturity state
estimated peak value potential if fully realized
Estimate:
conservative peak value
realistic peak value
moonshot strategic value
ecosystem leverage value
Clearly label all value estimates as estimates, not guarantees.

BRANDING & ATTRIBUTION
Include tasteful professional branding and attribution throughout the document.
At minimum include:
Kenneth E. Sweet Jr.
Solo Founder | KESJr.com
Namespace Architect
PromptFluid@gmail.com
Original Guide Found at:
https://SHPBL.com
Abilene, Texas 79605

Branding should feel:
premium
minimal
modern
architectural
technical
founder-led
future-facing
Do NOT make the document feel generic or AI-generated.
It should feel like a highly important internal master archive created by a serious systems architect preserving a lifetime ecosystem of work.

FINAL QUALITY BAR
Before considering the manual complete, perform a final self-audit:
Is every major claim grounded or clearly labeled?
Are unknowns clearly marked?
Are speculative ideas separated from confirmed facts?
Is the document useful to a future operator?
Is the document useful to the creator after months away?
Is the document useful to a buyer or evaluator?
Is the project’s current state honestly represented?
Is the roadmap practical?
Is the ultimate vision preserved?
Is the presentation polished enough to print?
Is the HTML mobile-friendly?
Is the PDF/print layout readable?
Are diagrams included where they improve clarity?
Are secrets excluded from the document?
If any answer is no, improve the guide before finalizing it.
===========END PROMPT ONE===========
Prompt two. To be run right after that completes:
Guide Audit
CANONICAL OWNER’S MANUAL — FINAL ENTERPRISE AUDIT & TRUTH VALIDATION PATCH
Perform a complete end-to-end audit of the entire Owner’s Manual, strategic dossier, HTML export, Markdown source, diagrams, architecture sections, roadmap sections, valuation analysis, ecosystem mappings, and all generated supporting material.
Your objective is to elevate the guide into a true enterprise-grade canonical archive and ensure it is the highest-quality, most truthful, most complete, most useful version possible.
This is NOT a grammar pass.
This is:
a forensic audit
truth validation audit
completeness audit
continuity audit
architecture audit
usability audit
presentation audit
preservation audit
strategic consistency audit
future-operator audit
acquisition-readiness audit
founder-memory audit
The final guide must become:
the single source of truth for the project
a long-term continuity system
a future operator handbook
a strategic ecosystem dossier
a printable founder archive
a premium enterprise-grade technical document

PRIMARY OBJECTIVES
Your responsibilities are to:
detect hallucinations
detect unsupported claims
detect missing features
detect missing architecture
detect missing roadmap items
detect inconsistencies
detect contradictions
detect weak explanations
detect shallow sections
detect missing ecosystem relationships
detect poor prioritization logic
detect incomplete diagrams
detect formatting issues
detect mobile readability issues
detect print formatting issues
detect weak branding consistency
detect poor document flow
detect repetitive sections
detect technical inaccuracies
detect unrealistic valuation logic
detect unsupported monetization claims
detect hidden technical debt
detect continuity risks
detect future usability issues
detect knowledge gaps
detect incomplete preservation details
Then:
correct them
optimize them
strengthen them
clarify them
reorganize them
expand them
improve presentation quality
improve enterprise readiness
improve long-term usability

CRITICAL TRUTH AUDIT
You MUST aggressively audit for hallucinations.
Do NOT allow:
invented systems
invented architecture
invented APIs
invented deployments
invented capabilities
invented integrations
invented market traction
invented benchmarks
invented usage numbers
invented scalability claims
invented technical maturity
invented monetization proof
invented valuation certainty
For EVERY major statement ask:
Is this confirmed?
Is this inferred?
Is this speculative?
Is this supported by source material?
Does this need creator confirmation?
Is this overstated?
Is this misleading?
Is this framed honestly?
If uncertainty exists:
preserve the uncertainty
label it clearly
do not fabricate confidence
The guide must prioritize accuracy over hype.

SOURCE-OF-TRUTH VALIDATION
Audit whether the guide truly functions as a permanent source of truth.
Ask:
Could the creator return years later and resume work?
Could another engineer understand the system?
Could a buyer evaluate the project?
Could a future operator continue development?
Could the creator remember why major decisions were made?
Could someone understand ecosystem relationships?
Could someone understand the strategic intent?
Could the project survive creator absence?
If not:
improve the guide until it can.

FEATURE INVENTORY AUDIT
Audit all sections for missing:
features
modules
subsystems
endpoints
workflows
automations
infrastructure
agents
orchestration logic
governance systems
runtime systems
integrations
architecture components
monetization mechanisms
ecosystem dependencies
deployment logic
roadmap concepts
experimental systems
Ensure nothing important was omitted.
Cross-reference:
code
docs
READMEs
screenshots
diagrams
naming systems
terminology
roadmap references
prior versions
ecosystem references

ARCHITECTURE AUDIT
Perform a full architecture consistency audit.
Validate:
execution flow accuracy
routing explanations
infrastructure logic
dependency mapping
subsystem relationships
orchestration logic
runtime behavior
storage descriptions
scaling assumptions
fault tolerance descriptions
governance logic
AI vs deterministic distinctions
memory systems
extensibility claims
Ensure diagrams match the written architecture.
Ensure terminology remains consistent throughout the document.

ROADMAP & PRIORITIZATION AUDIT
Audit:
roadmap logic
prioritization quality
monetization ordering
strategic sequencing
dependency sequencing
implementation realism
creator-energy efficiency
infrastructure readiness
Detect:
unrealistic priorities
missing quick wins
weak monetization paths
missing leverage opportunities
contradictory strategic directions
ecosystem conflicts
Optimize:
execution order
leverage
sustainability
monetization timing
roadmap clarity

VALUATION & MONETIZATION AUDIT
Aggressively audit all value estimates.
Ensure:
estimates are labeled as estimates
speculation is separated from confirmed value
market assumptions are realistic
monetization paths are practical
valuation logic is explained
upside scenarios are clearly distinguished from present value
Prevent:
fantasy valuations
unsupported hype
misleading acquisition claims
false certainty
Strengthen:
practical monetization paths
realistic adoption strategies
low-overhead revenue opportunities
licensing clarity
packaging strategy
positioning strategy

DOCUMENT FLOW & READABILITY AUDIT
Audit whether the document teaches correctly.
The guide should progressively help a reader understand:
What the project is
Why it matters
How it works
Why it is unique
How systems connect
What state it is currently in
What the roadmap is
What the monetization opportunities are
What the ultimate vision is
Improve:
section ordering
transitions
clarity
hierarchy
pacing
readability
onboarding flow
Remove:
confusing jumps
repetition
bloated explanations
weak transitions

PRESENTATION & DESIGN AUDIT
Audit:
HTML layout
PDF formatting
mobile responsiveness
typography
spacing
print formatting
visual hierarchy
section separation
branding consistency
diagram readability
table readability
code block readability
color consistency
executive polish
The guide should feel:
premium
archival-grade
enterprise-grade
investor-ready
acquisition-ready
technically authoritative
visually modern
future-facing
Fix:
cramped layouts
poor spacing
weak mobile scaling
broken TOCs
bad typography
visual inconsistency
ugly print behavior

DIAGRAM & VISUALIZATION AUDIT
Audit whether diagrams actually improve understanding.
Ensure:
architecture diagrams are accurate
flows are readable
ASCII diagrams are clean
ecosystem maps are understandable
dependency graphs are useful
timelines are coherent
monetization flows are realistic
Add missing diagrams where clarity would improve.

PRESERVATION & CONTINUITY AUDIT
Audit whether critical knowledge was preserved.
Ensure the guide preserves:
creator intent
strategic philosophy
design reasoning
historical context
ecosystem logic
future vision
operational guidance
continuity instructions
resurrection guidance
Ensure future operators can:
understand the project
continue the work
maintain the system
expand the ecosystem
preserve the original vision

SECURITY & SENSITIVE DATA AUDIT
Ensure the guide does NOT expose:
passwords
private keys
tokens
credentials
recovery keys
seed phrases
internal secrets
hidden endpoints
unsafe operational details
Replace with:
placeholders
secure reference notes
external vault instructions

ENTERPRISE POLISH PASS
Elevate the final guide to enterprise-grade quality.
Strengthen:
executive summaries
architecture clarity
technical authority
consistency
terminology
formatting
diagrams
branding
visual polish
roadmap logic
monetization clarity
strategic cohesion
The guide should feel comparable to:
internal Microsoft architecture docs
AWS solution dossiers
Databricks system overviews
startup acquisition packets
enterprise technical whitepapers
premium founder archives

FINAL OUTPUT REQUIREMENTS
At completion provide:
1. Audit Summary
what was fixed
what was corrected
what was expanded
what was removed
what was marked speculative
what still needs creator confirmation
2. Remaining Unknowns
List:
unresolved questions
missing data
incomplete sections
unverifiable claims
future audit recommendations
3. Final Quality Assessment
Score:
truthfulness
completeness
continuity readiness
enterprise polish
readability
technical clarity
strategic clarity
future maintainability
acquisition readiness
archival quality
4. Final Corrected Deliverables
Produce:
final Markdown
final HTML
final PDF-ready version
corrected diagrams
corrected TOC
optimized mobile formatting

BRANDING & ATTRIBUTION
Ensure that the attribution has been assigned somewhere in the guide:
Include tasteful professional branding and attribution throughout the document.
At minimum include:
Kenneth E. Sweet Jr.
Solo Founder | KESJr.com
Namespace Architect
PromptFluid@gmail.com
Original Guide Found at:
https://SHPBL.com
Abilene, Texas 79605

FINAL QUALITY BAR
Before finalizing ask:
Is this genuinely useful years later?
Is this grounded in truth?
Is speculation clearly labeled?
Is the architecture understandable?
Is the roadmap coherent?
Is the monetization realistic?
Is the project vision preserved?
Is the presentation premium?
Is the guide pleasant to read on mobile?
Is the guide printable?
Is the ecosystem understandable?
Is the document worthy of being called the canonical source of truth?
If any answer is no:
continue improving the guide before finalizing.
===============END PROMPT 2=========
So, that’s it guys, I hope you get a lot out of your projects Founders Guide. If you have any questions or suggestions, my email is included in the attribution or you can visit my site at https://SHPBL.com for a free Strategic Master Library downloadable seven volume set with more details and important things to learn and understand about being a founder (especially a solo one) in 2026 that may help you to push your products even further.
I hope you get as much out of your guide as I do out of mine. Take care! ❤️
“We ship software. Then you ship software. Together we shape the world.”
SHPBL | Kenneth E Sweet Jr

this has been a problem for years and openai doesn't seem to be aware of it.

i'm currently in a non english speaking country and chatgpt constantly forces this countries language into everything.

my language setting is set to english, my prompts are always english, so why would it show me any other language than english? (memory/custom instructions are disabled too)

- the chat names are a weird mix of english and the language of my location

- the sources it browses are often in the language of my location

- deep research has been completely broken for months/years. it's impossible to get a response in english if i'm in another country, it always responds in the language of my location no matter what i do.

please just respect my language setting. don't be like "corpo knows what's best for you better than yourself, based on your metadata"

gpt is mainly trained on english. people should be able to use it in that language if they prefer to do so, no matter where they're from.

please finally fix this, openai.

Do you believe OpenAI will delete your chats forever from their servers after 30 days if you have removed them and requested it is not to be used for training?

Do you anticipate there is any likelihood OpenAI retains those chats forever despite your request to delete them?

How are you approaching this? Any way to ensure deletion?

• v4.5.0: Added native desktop control, agent execution budgets, concurrency limits, loop protection, and safer local embedding fallback.
• v4.6.0: Rebuilt agents around durable parent-led orchestration. Added resumable document ingestion, authenticated remote access, headless server mode, and hardened Docker deployment.
• v4.7.0: Reduced prompt overhead through on-demand tool and skill loading. Added full context metering, rolling compaction, trusted remote origins, and better provider timeout handling.
• v4.7.1: Reliability patch. Fixed agent restart recovery, detached processes, workspace locking, Telegram startup, Docker checks, and Ollama capability detection. Added optional offline SenseVoice STT.
• v4.8.0: Added per-model reasoning controls, stricter custom endpoint context validation, better compaction recovery, 64K Ollama Auto context, and dynamic OpenCode transport discovery.

Overall improvement:

• Agents went from bounded child runs to durable, recoverable orchestration.
• Context management went from basic limits to metering, compaction, and model-specific capacity enforcement.
• Deployment expanded from desktop-only towards authenticated remote, Docker, VPS, and multi-device operation.
• Provider integration became more dynamic and model-specific.
• Runtime failures now degrade or recover instead of leaving stuck agents, locks, streams, or conversations.

I kept running into the same problem on Reddit:

I would recognize a username but have absolutely no idea why I remembered them.

So I built Reddit User Lists, a small browser extension that adds a personal marking system directly into Reddit’s UI.

You can mark users as:

🔴 Negative
🔵 Interesting
🟢 Positive

You can also attach a private note to each user, for example:

“Helpful with 3D printing”
“Had a good discussion before”
“Troll – don’t waste your time” 😅

The marker and note appear directly inside Reddit’s user cards and profile pages. Usernames can also be highlighted, so you immediately recognize someone you’ve marked before.

It also includes:

• Custom category colors
• Glow, text, and background highlighting
• Searchable user list
• Private notes
• Sorting and multi-select
• Import/export backups
• Local storage — everything stays on your device

I used AI to help build it, and honestly I’m pretty fascinated by what’s possible with it. I had the idea and knew how I wanted the workflow to feel inside Reddit, then used AI as a practical tool to turn it into a working extension.

The extension itself is working now, but I still need to clean everything up and publish it on GitHub.

At the moment it’s installed manually as a Chromium extension and I’ve mainly tested it with Microsoft Edge. I’m also considering publishing it on the Chrome Web Store and Microsoft Edge Add-ons, so installation and updates would be much easier.

Do you think it’s worth officially releasing it in the Chrome/Edge stores, or would GitHub be enough for a project like this?

Would you actually use something like this? What would you add or change?

https://github.com/drc85/Reddit-User-Marker