Ready-made prompts for advanced nuclear and next-gen geothermal, through the Signals MCP connector. Pick your role, copy a prompt, swap the bracketed placeholders for your own developer, buyer or market.
Every field carries its evidence grade and source, so you can check what an announcement actually means. Combine these records around your own question — who signed what, with whom, and how far each project has really moved.
Every prompt ends with ‘Use Signals’ — that tells your AI tool to use the Signals connector instead of relying on memory. Keep it when you copy.
Sourcing, diligence and tracking which developers have real contracts behind them.
I’ve just connected the Signals MCP connector by Net Zero Insights, covering advanced nuclear and next-gen geothermal.
Based on what you know about my work, identify the five most valuable ways Signals can support it. For each one, explain the capability, when to use it, what the Signals record adds (forward commitments, project milestones, field-level evidence), and provide an example prompt.
Use Signals
What has actually moved in [Advanced nuclear / Next-gen geothermal] over the last [90 days]? List new forward commitments, project milestones and funding rounds. For each agreement, show the stage (e.g. MOU, LOI, definitive agreement), commitment level, capacity and delivery window.
Separate binding commitments from reservations, options and non-binding announcements, then give me 3–5 key takeaways.
Use Signals
[Buyer] and [Developer] announced [headline, e.g. a 500 MW deal]. What does the record show was actually signed?
Give the agreement type, purchase structure, stage, commitment level, contracted capacity, term and delivery dates, with the evidence grade and source for each field. Then tell me in one line how the headline differs from what was signed.
Use Signals
Give me a first-pass diligence view of [Developer]: technology, projects and phases, milestones to date (actual vs estimated, with the precision of each date), forward commitments by stage and commitment level, offtakers, funding rounds and key backers.
Finish with the open questions I should raise on a first call, and flag any facts that are only weakly inferred.
Use Signals
Compare these developers: [Developer A], [Developer B], … [Developer N].
Format: Markdown table, one row per developer.
Keep every cell concise: maximum six words.
No introduction or paragraphs.
Columns: | Developer | Technology | Lead project | Furthest milestone reached | Binding contracted MW | Reserved / non-binding MW | Key offtakers | Total raised | Key backers | Next milestone (estimated) |
After the table, provide 3–5 key takeaways.
Use Signals
For [Developer or market], separate contracted capacity from headline capacity. Across all forward commitments, total the MW that are binding, the MW that are reservations, options or rights, and the MW that are peak or headline figures only.
Present it as a table by agreement, with the source behind each figure.
Use Signals
Which [Advanced nuclear / Next-gen geothermal] projects have moved their expected operation or delivery date? For each, show the earliest date recorded, the latest estimate, the precision of each date and the source behind the change.
Sort by the size of the delay.
Use Signals
Find [Advanced nuclear / Next-gen geothermal] developers that have raised funding in the last [24 months] but have no binding offtake yet. For each, show total raised, latest round and backers, any non-binding agreements, and the next milestone that would de-risk the company.
Rank them by how close they look to a first binding contract.
Use Signals
Who is buying power from [Advanced nuclear / Next-gen geothermal]? Group forward commitments by buyer type (hyperscalers, utilities, industrials, others) and show each buyer’s agreements, capacity, purchase structure, stage and delivery window.
Flag buyers working with more than one developer.
Use Signals
Who are the most active investors in [Advanced nuclear / Next-gen geothermal] developers, and who do they co-invest with? For each investor, list the developers backed, the rounds joined, and whether those developers hold binding offtake.
Use Signals
Map [Investor X]‘s exposure to [Advanced nuclear / Next-gen geothermal]: portfolio developers, rounds, the projects those developers are building, and the forward commitments behind them by stage.
Where is the exposure backed by binding contracts, and where is it still headline only?
Use Signals
Audit the record for [Agreement or project]. List every field with its value, evidence grade (Explicit, Strongly inferred, Weakly inferred, Derived) and source.
Flag anything weakly inferred or derived, and anything where sources disagree.
Use Signals
Peer tracking, procurement benchmarks and developer due diligence.
I’ve just connected the Signals MCP connector by Net Zero Insights, covering advanced nuclear and next-gen geothermal.
Based on what you know about my work, identify the five most valuable ways Signals can support it. For each one, explain the capability, when to use it, what the Signals record adds (forward commitments, project milestones, field-level evidence), and provide an example prompt.
Use Signals
What has [Company A] committed to in [Advanced nuclear / Next-gen geothermal]? Show every forward commitment, investment and partnership, with counterparty, stage, commitment level, capacity, term, delivery window and source.
Present it as a scannable table, oldest first.
Use Signals
Compare how [Company A], [Company B] and [Company C] are procuring firm clean power from advanced nuclear and next-gen geothermal.
Format: Markdown table, one row per company.
Keep every cell concise: maximum six words.
Columns: | Company | Developers | Technologies | Agreement types | Binding MW | Reserved / non-binding MW | Earliest delivery | Equity stakes |
After the table, provide 3–5 takeaways on how their strategies differ.
Use Signals
How are [Advanced nuclear / Next-gen geothermal] offtake deals being structured? Group forward commitments by purchase structure (e.g. PPA, capacity reservation, development agreement, equity plus offtake) and show typical size, term, stage reached, and example deals with sources.
Use Signals
Shortlist [Advanced nuclear / Next-gen geothermal] developers that could supply [X MW] in [Region] by [Year]. Rank them on project milestones reached, existing binding offtake and funding.
Return a short table with the evidence behind each ranking and the main delivery risk for each.
Use Signals
We are considering an agreement with [Developer]. Give me a full picture: technology, projects and phases, milestones (actual vs estimated), existing offtakers and what they actually signed, funding and backers, and any changes to announced timelines.
Close with the risks we should raise before signing.
Use Signals
What is the current status of [Project]? Show its phases, location, capacity, milestones with actual vs estimated dates, the developer, partners and every agreement linked to it, with sources.
Use Signals
Which [Advanced nuclear / Next-gen geothermal] projects are planned or under way in [Country / State]? Show developer, capacity, phase, latest milestone, expected operation date and linked offtakers.
Sort by expected operation date.
Use Signals
Which companies partner with or supply [Advanced nuclear / Next-gen geothermal] projects (for example EPCs, drilling contractors, fuel suppliers, equipment vendors)? Show the role each plays, the projects involved and the source.
Use Signals
Create a market map of [Advanced nuclear / Next-gen geothermal], organised by technology (e.g. SMRs, microreactors, fusion; or enhanced, closed-loop and superhot geothermal).
For each technology, show: Leading developers | Lead projects | Furthest milestone | Binding offtake | Key buyers | Key backers.
Conclude with 3–5 key takeaways.
Use Signals
Draft a one-page briefing for [Audience, e.g. our executive committee] on [Advanced nuclear / Next-gen geothermal] over the last [quarter]. Count only binding agreements as contracted, list reservations and non-binding deals separately, and cite a source for every figure.
Use Signals
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