/higgsfield-assist

name: higgsfield-assist
description: >
  Use when the user asks about Higgsfield Assist (the built-in GPT-5 copilot),
  how to use the platform's native AI assistant, credit optimization strategies,
  plan selection, how to get more from fewer credits, or platform efficiency tips.
user-invocable: true
metadata:
  tags: [higgsfield, assist, GPT-5, copilot, credits, pricing, optimization, efficiency]
  version: 3.1.1
  updated: 2026-07-06
  parent: higgsfield

Higgsfield Assist + Credit Optimization

---

Higgsfield Assist (GPT-5 Powered Copilot)

**Location:** higgsfield.ai/chat

Higgsfield Assist is a GPT-5 powered creative copilot built directly into the platform. It's separate from Claude — it lives inside Higgsfield's interface and is trained specifically on Higgsfield's tools, workflows, and generation patterns.

What Assist Can Do

• Generate image prompts optimized for the Soul model
• Generate prompts for viral videos in specific styles
• Navigate the platform — recommend which tool to use for a goal
• Recommend the right effects, apps, or presets for your use case
• Answer questions about features and capabilities
• Give feedback on scripts, prompts, or creative concepts
• Suggest fresh ideas when you're blocked
• Help with storyboard planning

How to Use Assist

1. Click **"Assistant"** in the top Higgsfield header 2. Select the GPT-5 model 3. Ask anything — examples:

• "Generate a Soul image prompt in the style of a Helmut Newton editorial"
• "What's the best workflow to create a 30-second branded video with consistent characters?"
• "Which camera preset works best for a car chase sequence?"
• "Help me write a prompt for a product video for a skincare brand, sophisticated tone"

4. Copy the generated prompt → paste into the relevant feature

When to Use Assist vs Claude with This Skill

| Use Assist for | Use this Claude skill for | |----------------|--------------------------| | Quick prompt generation within the platform | Building complex multi-shot workflows | | Platform navigation questions | Structuring long-form projects | | Viral/trend suggestions (platform-current) | Systematic MCSLA prompt construction | | Real-time platform feature questions | Genre recipe templates and troubleshooting | | Rapid iteration inside the Higgsfield UI | Understanding the underlying principles |

**Best workflow:** Use this Claude skill to plan and structure → use Higgsfield Assist for final in-platform prompt refinement and quick generation.

Coming Features in Assist

• Generate content (Image, Video, Canvas) directly inside chat
• Upload and analyze media files
• Large file analysis
• Storyboard builder from ideas

---

Credit Optimization Guide

Understanding Credits

| Plan | Monthly credits | Cost | Best for | |------|----------------|------|----------| | Free | 25 | $0 | Testing only | | Basic | 150 | $6/mo (annual) | Hobby / light use | | Pro | 700 | $27/mo (annual) | Regular creators | | Ultimate | 1,500 | $55/mo (annual) | Daily production |

**Commercial rights:** Basic and above. **Watermarks:** Free tier only. **Priority processing:** Pro and above.

> Plan names, prices, and credit allowances above are hand-maintained and not > verifiable from the API catalog (last reviewed 2026-07-06, not re-verified > against the live UI) — check higgsfield.ai/pricing before quoting them.

Credit Cost Tiers (Approximate)

*Model roster reviewed against the 2026-07-05 catalog snapshot; tier placements are hand-maintained — verify live before quoting.*

**Low cost:** Seedance 2.0 Fast / Mini, standard image generation, Nano Banana 2 Lite **Medium cost:** Kling 2.6 (legacy), Kling 3.0 Turbo, Wan 2.5/2.6/2.7, Minimax Hailuo 2.3, standard I2V **High cost:** Kling 3.0 (pro/4K modes), Seedance 2.0 at 1080p/4K, Veo 3 / 3.1, Cinema Studio **Apps:** Vary widely — one-click apps are generally efficient

> "Seedance Pro" is a legacy UI label — not in the API catalog (2026-07-05); > its budget slot is now Seedance 2.0 Fast / Mini. Sora 2 is UI-only (confirmed in the UI 2026-07-06) — not in > the API catalog as of 2026-07-05; verify in the live UI before recommending.

Quote From the Ledger, Not From Vibes

**Before quoting any credit estimate for multi-shot work, run the generation ledger and cite the numbers:**

python3 ../../scripts/higgsfield_memory.py ratio <project> --credits
python3 ../../scripts/higgsfield_memory.py budget <project> --shots <manifest.json>

• `ratio` gives empirical takes-per-kept per shot type, with the

structural-vs-stochastic rejection split (high structural% = rewrite the prompt, don't re-roll; high stochastic% = priced re-roll territory).

• `budget` multiplies a planned shot manifest by those ratios → expected

generations + credit estimate with a stated confidence level.

• **Never budget from a row marked `low-n`** (under 5 logged generations) —

the tool flags them; respect the flag.

• **If the ledger is empty or thin, say so explicitly** and use the

documented default planning ratios — **2–3:1 simple shots, 4–6:1 complex shots — labeled as defaults, not data.** The `budget` command does this labeling automatically; keep the label when you relay the estimate.

• Every logged generation sharpens these numbers — the logging workflow is

one command (`../higgsfield-recall/SKILL.md` § Log the Generation Result).

The 5 Most Common Credit Waste Patterns

**1. Generating video before perfecting the image** The single biggest waste. If your Hero Frame (base image) isn't right, every animated version will be wrong too. **Fix:** Spend extra time on image generation (low cost) → animate once (higher cost)

**2. Long prompts that fight each other** Over-specified prompts create conflicting instructions, forcing multiple regenerations. **Fix:** Under-specialize on elements you don't care about. Specify only what matters.

**3. Changing multiple variables between generations** If you change the prompt