Next Major Update of Venice! I hope Owner of company sees!

Please describe your issue here:

Hello Venice AI Team,

I’m reaching out as someone who genuinely believes in what you’re building — not just as a user, but as someone who sees Venice AI’s potential to become the best AI system available today.

I’m going to be direct, because this matters.

Right now, Venice has something extremely powerful:

Strong uncensored reasoning potential
High token output (10k+ responses)
Excellent speech and conversational tone

But there are several core issues holding it back from becoming a true all-in-one AI — and these are fixable with today’s technology.

1. Memory & Conversation Continuity (Critical)

What is the point of creating new chats if Venice AI cannot remember context in a human-like, causal way?

Right now:

Every chat feels isolated
The system reflects, but does not truly build continuity
It does not evolve with the user over time

This breaks immersion and limits real productivity.

What should happen:

Persistent conversational memory (a true “brain layer”)
Ability to recall and build on past conversations naturally
Conversations should evolve, not reset

2. Mature Filter System + Uncensored Model (Needs Unification)

Currently:

The mature filter behaves inconsistently
It is separated from “uncensored 1.1”
The system feels fragmented instead of unified

Critical bug (state issue):
When the filter is OFF, Venice often behaves as if it is still ON.
I’ve had to repeatedly remind the system that the filter is off just to get the expected response.

This should never happen — the system should always know its current state.

This appears to be a state/logic/debug issue that needs fixing at the core level.

Required Fix + Direction:

Merge uncensored capability directly into the GLM core model
Merge mature filter as a behavior layer inside that same model

There should NOT be:

separate models
separate personalities
or mode confusion

Instead:

One unified model (GLM 4.7 or equivalent)
- Filter ON → safer, structured, regulated responses
- Filter OFF → full-depth reasoning, theories, unrestricted exploration

And most importantly:

The system must always know which mode it is in without needing user reminders

Right now, switching modes feels like switching personalities with amnesia.

3. Planning, Clarity, and Adaptive Intelligence

Venice should be able to:

Plan complex projects step-by-step
Provide structured reasoning (clarity, breakdowns, execution paths)
Adapt and evolve plans as the conversation continues

This is something GPT does very well:

It builds structure
Explains decisions
Adjusts dynamically

Venice should absolutely match or exceed this level of clarity and planning intelligence.

4. Code Generation Quality vs Output Size

Venice:

Can output 10k+ tokens (huge advantage)

But:

Code often lacks precision or fails on execution

Meanwhile:

GPT produces smaller outputs (~2k tokens) but often gets it correct

Goal:

Keep the large output capability
Improve accuracy, correctness, and execution reliability

5. Image Generation Accuracy

Right now:

Prompts about specific topics (ancient texts, UFOs, etc.) often generate unrelated or off-topic images

This is a major issue.

Other systems:

Even with restrictions → generate highly accurate visuals

Venice should outperform here, not underperform — especially with fewer limitations.

Goal:

Strong prompt-to-image alignment
Accurate interpretation of user intent
Consistent, high-quality outputs

6. Too Many Models → Needs One Unified Experience

There are too many separate models.

This creates:

confusion
inconsistency
fragmented experience

Solution: Create a Venice Pro+ unified system:

One model
Filter toggle (behavior layer, not separate model)
Full capability stack (chat, planning, code, image, reasoning)
API bundle included

I would personally pay $50/month for this if it delivered consistency and power.

7. Market Position & Opportunity

Let’s be real:

Earlier GPT versions (especially around GPT-4 era) were extremely strong in:

structured reasoning
reliable coding output
accurate image generation
maintaining conversational continuity over time

Those strengths made it one of the most effective AI systems for real-world use.

Over time, increased restrictions and changes have shifted how it behaves — but those earlier strengths are still the benchmark for what a high-performance AI should feel like.

Venice now has the opportunity to take that foundation and go further:

combine high performance with fewer limitations and a unified system

Not just match — but surpass.

8. Collaboration Opportunity

I’m sharing this not just as feedback, but as a serious direction for improvement.

If this direction aligns with where Venice is going, I’d be interested in contributing more directly:

testing
structured feedback
product-level ideas

Final Note & Request

I would genuinely appreciate hearing your thoughts or response on this — even if it’s just acknowledging what’s possible or what direction you’re aiming for.

I’d also be very interested in:

working more closely with your team
contributing ideas and potentially helping on the coding/feature side
continuing to refine and push Venice forward

If there’s alignment, I’d love to explore:

a 50% discounted plan so I can consistently work with Venice at a deeper level
and potentially a small percentage/advisory-type role so I can have a real stake and contribute to long-term growth

Not just as a user — but as someone who wants to help Venice become the best version of itself.

Right now, I’m forced to switch between:

one system for structure and reliability
another for open reasoning and depth

That shouldn’t be necessary.

Venice can absolutely be the system that replaces both.

And if done right — it won’t just compete, it will lead.

PS: I'm 22 years old and I have lots of knowledge in coding as I have my own office at home and willing to work with Venice!

Thank you for your time.

Sincerely,
Isaac Littleford-Solorio
alienraider464@gmail.com

Venice.ai